SoK Authors

Ali Abbasi

SoK: Security of Programmable Logic Controllers (USENIX 2024)
Efrén López-Morales, Ulysse Planta, Carlos Rubio-Medrano, Ali Abbasi, Alvaro A. Cardenas

AbdelRahman Abdou

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)
Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David Basin, Adrian Perrig

Hadi Abdullah

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor

Sharif Abuadbba

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)
Erik Buchholz, Sharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere

Alsharif Abuadbba

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework (EuroS&P 2025)
Minh Binh Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, Shahroz Tariq

Yasemin Acar

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)
Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick McDaniel, Matthew Smith

Abbas Acar

SoK: Cryptojacking Malware (EuroS&P 2021)
Ege Tekiner, Abbas Acar, A. Selcuk Uluagac, Engin Kirda, Ali Aydin Selcuk

Sadia Afroz

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)
Michael C. Tschantz, Sadia Afroz, Anonymous, Vern Paxson

Mustaque Ahamad

SoK: Fraud in Telephony Networks (EuroS&P 2017)
Merve Sahin, Aurélien Francillon, Payas Gupta, Mustaque Ahamad

Irfan Ahmed

SoK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities (EuroS&P 2023)
Muhammad Ahsan, Muhammad Haris Rais, Irfan Ahmed

Gail-Joon Ahn

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)
Huahong Tu, Adam Doupé, Ziming Zhao, Gail-Joon Ahn

Jung Ho Ahn

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms (Oakland 2026)
Michael Jaemin Kim, Seungmin Baek, Jumin Kim, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn

Muhammad Ahsan

SoK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities (EuroS&P 2023)
Muhammad Ahsan, Muhammad Haris Rais, Irfan Ahmed

Md Mojibur Rahman Redoy Akanda

SoK: Inaccessible & Insecure: An Exposition of Authentication Challenges Faced by Blind and Visually Impaired Users in State-of-the-Art Academic Proposals (USENIX 2025)
Md Mojibur Rahman Redoy Akanda, Amanda Lacy, Nitesh Saxena

Omer Akgul

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

Devdatta Akhawe

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Mahbub Alam

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Hosam Alamleh

SoK: The Cyber Attack Surface of Unmanned Vehicles (UxVs) (EuroS&P 2026)
Alessandro Cantelli-Forti, Hosam Alamleh

Bader AlBassam

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Arash Ale-Ebrahim

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

Ghada Almashaqbeh

SoK: Privacy-Preserving Computing in the Blockchain Era (EuroS&P 2022)
Ghada Almashaqbeh, Ravital Solomon

Omar Alrawi

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)
Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose

Lorenzo Alvisi

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)
Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi

Islam Amar

SoK: Multi-Perspective-Video-Anonymization (PETS 2026)
Islam Amar, Omar Moured, Simon Hanisch, Thorsten Strufe

Mahmoud Ammar

SoK: Integrity, Attestation, and Auditing of Program Execution (Oakland 2025)
Mahmoud Ammar, Adam Caulfield, Ivan De Oliveira Nunes

Hyrum S. Anderson

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Ross J. Anderson

SoK: Web Authentication and Recovery in the Age of End-to-End Encryption (PETS 2025)
Jenny Blessing, Daniel Hugenroth, Ross J. Anderson, Alastair R. Beresford

Dennis Andriesse

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)
Erik van der Kouwe, Gernot Heiser, Dennis Andriesse, Herbert Bos, Cristiano Giuffrida

Meenatchi Sundaram Muthu Selva Annamalai

SoK: The Hitchhiker’s Guide to Efficient, End-to-End, and Tight DP Auditing (SaTML 2026)
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro

Anonymous

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)
Michael C. Tschantz, Sadia Afroz, Anonymous, Vern Paxson

Manos Antonakakis

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)
Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)
Sanjeev Das, Jan Werner, Manos Antonakakis, Michalis Polychronakis, Fabian Monrose

Giovanni Apruzzese

SoK: The Impact of Unlabelled Data in Cyberthreat Detection (EuroS&P 2022)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection (EuroS&P 2023)
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Frederik Armknecht

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)
Frederik Armknecht, Roel Maes, Ahmad-Reza Sadeghi, Francois-Xavier Standaert, Christian Wachsmann

N. Asokan

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)
Ágnes Kiss, Masoud Naderpour, Jian Liu, N. Asokan, Thomas Schneider

SoK: Unintended Interactions among Machine Learning Defenses and Risks (Oakland 2024)
Vasisht Duddu, Sebastian Szyller, N. Asokan

SoK: The Spectre of Surveillance and Censorship in Future Internet Architectures (PETS 2025)
Michael Wrana, Diogo Barradas, N. Asokan

Andre Augusto

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)
Andre Augusto, Rafael Belchior, Miguel Nuno Dias Alves Pupo Correia, Andre Vasconcelos, Luyao Zhang, Thomas Hardjono

Thanassis Avgerinos

All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but might have been afraid to ask) (Oakland 2010)
Thanassis Avgerinos, Edward Schwartz, David Brumley

Rainer Böhme

SoK: Quantifying Cyber Risk (Oakland 2021)
Daniel W. Woods, Rainer Böhme

Marvin Büchel

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Renas Bacho

SoK: Dlog-Based Distributed Key Generation (Oakland 2025)
Renas Bacho, Alireza Kavousi

Michael Backes

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)
Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick McDaniel, Matthew Smith

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark (USENIX 2025)
Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang

Seungmin Baek

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms (Oakland 2026)
Michael Jaemin Kim, Seungmin Baek, Jumin Kim, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn

Ibrahim Baggili

SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework (USENIX 2025)
Ali Teymourian, Andrew M. Webb, Taha Gharaibeh, Arushi Ghildiyal, Ibrahim Baggili

Mirza Basim Baig

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)
Bhushan Jain, Mirza Basim Baig, Dongli Zhang, Donald E. Porter, Radu Sion

Michael Bailey

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)
Jing Tian, Nolen Scaife, Deepak Kumar, Michael Bailey, Adam Bates, Kevin Butler

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Steven Baldasty

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Borja Balle

SoK: The Hitchhiker’s Guide to Efficient, End-to-End, and Tight DP Auditing (SaTML 2026)
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro

Ero Balsa

OB-PWS: Obfuscation-Based Private Web Search (Oakland 2012)
Ero Balsa, Carmela Troncoso, Claudia Diaz

Davide Balzarotti

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)
Xabier Ugarte-Pedrero, Davide Balzarotti, Igor Santos Grueiro, Pablo Garcia Bringas

SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap (Oakland 2020)
Savino Dambra, Leyla Bilge, Davide Balzarotti

Yuyan Bao

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)
Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao

Olivier Barais

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)
Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais

Manuel Barbosa

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

Diogo Barradas

SoK: The Spectre of Surveillance and Censorship in Future Internet Architectures (PETS 2025)
Michael Wrana, Diogo Barradas, N. Asokan

Nils Bars

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

SoK: A Systematic Review of Integration and Reproducibility of Fuzzing Research into AFL++ (EuroS&P 2026)
Nico Schiller, Nils Bars, Moritz Schloegel, Thorsten Holz

Gilles Barthe

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)
Sunjay Cauligi, Craig Disselkoen, Daniel Moghimi, Gilles Barthe, Deian Stefan

David Basin

SoK: Secure Data Deletion (Oakland 2013)
Joel Reardon, David Basin, Srdjan Capkun

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)
Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David Basin, Adrian Perrig

Adam Bates

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)
Jing Tian, Nolen Scaife, Deepak Kumar, Michael Bailey, Adam Bates, Kevin Butler

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Mako Bates

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Lejla Batina

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)
Péter Horváth, Dirk Lauret, Zhuoran Liu, Lejla Batina

Adam Batori

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Jason Bau

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)
Jason Bau, Elie Bursztein, Divij Gupta, John Mitchell

Robert Baumgartner

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Kyle Beadle

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

Michael Becher

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)
Michael Becher, Felix C. Freiling, Johannes Hoffmann, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf

Katharina Beckh

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Eva-Maria C. Behner

SoK: No Goto, No Cry? The Fairy Tale of Flawless Control-Flow Structuring (EuroS&P 2025)
Eva-Maria C. Behner, Steffen Enders, Elmar Padilla

Wilco van Beijnum

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Rafael Belchior

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)
Andre Augusto, Rafael Belchior, Miguel Nuno Dias Alves Pupo Correia, Andre Vasconcelos, Luyao Zhang, Thomas Hardjono

Rosanna Bellini

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Alastair R. Beresford

SoK: Managing risks of linkage attacks on data privacy (PETS 2023)
Jovan Powar, Alastair R. Beresford

SoK: Web Authentication and Recovery in the Age of End-to-End Encryption (PETS 2025)
Jenny Blessing, Daniel Hugenroth, Ross J. Anderson, Alastair R. Beresford

David Bernhard

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)
David Bernhard, Véronique Cortier, David Galindo, Olivier Pereira, Bogdan Warinschi

Lukas Bernhard

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

Edward W.N. Bernroider

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Pascal Berrang

SoK: Descriptive Statistics Under Local Differential Privacy (PETS 2025)
René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder

Steven Bethard

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)
Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, Céline Fabry

Karthik Bhargavan

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

Anubhav Bhatla

SoK: So, You Think You Know All About Secure Randomized Caches? (USENIX 2025)
Anubhav Bhatla, Hari Rohit Bhavsar, Sayandeep Saha, Biswabandan Panda

Prianka Bhattacharjee

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Hari Rohit Bhavsar

SoK: So, You Think You Know All About Secure Randomized Caches? (USENIX 2025)
Anubhav Bhatla, Hari Rohit Bhavsar, Sayandeep Saha, Biswabandan Panda

Antonio Bianchi

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)
Jianliang Wu, Ruoyu Wu, Dongyan Xu, Dave Tian, Antonio Bianchi

Thomas Biege

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

Leyla Bilge

SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap (Oakland 2020)
Savino Dambra, Leyla Bilge, Davide Balzarotti

Vincent Bindschaedler

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor

Hodaya Binyamini

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Abeba Birhane

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Eleanor Birrell

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Nicolai Bissantz

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

Ron Bitton

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)
Ben Nassi, Ron Bitton, Ryusuke Masuoka, Asaf Shabtai, Yuval Elovici

Bruno Blanchet

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

Jenny Blessing

SoK: Web Authentication and Recovery in the Age of End-to-End Encryption (PETS 2025)
Jenny Blessing, Daniel Hugenroth, Ross J. Anderson, Alastair R. Beresford

Andreea-Elena Bodea

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems (SaTML 2026)
Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes

Jonas Boehler

SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy (SaTML 2026)
Francesco Capano, Jonas Boehler, Benjamin Weggenmann

Connor Bolton

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)
Chen Yan, Hocheol Shin, Connor Bolton, Wenyuan Xu, Yongdae Kim, Kevin Fu

Dan Boneh

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Joseph Bonneau

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)
Joseph Bonneau, Cormac Herley, Paul C. van Oorschot, Frank Stajano

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

SoK: Distributed Randomness Beacons (Oakland 2023)
Kevin Choi, Aathira Manoj, Joseph Bonneau

SoK: Cryptographic Authenticated Dictionaries (NDSS 2026)
Harjasleen Malvai, Francesca Falzon, Andrew Zitek-Estrada, Sarah Meiklejohn, Joseph Bonneau

Herbert Bos

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)
Erik van der Kouwe, Gernot Heiser, Dennis Andriesse, Herbert Bos, Cristiano Giuffrida

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Marcus Botacin

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)
Tushar Nayan, Qiming Guo, Mohammed Al Duniawi, Marcus Botacin, Selcuk Uluagac, Ruimin Sun

Eric Bourbao

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems (SaTML 2026)
Quentin Le Roux, Yannick Teglia, Teddy Furon, Philippe Loubet Moundi, Eric Bourbao

Robert A. Bridges

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? (EuroS&P 2026)
Robert A. Bridges, Thomas R. Mitchell, Mauricio Muñoz, Ted Henriksson

Pablo Garcia Bringas

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)
Xabier Ugarte-Pedrero, Davide Balzarotti, Igor Santos Grueiro, Pablo Garcia Bringas

Marius Brockhoff

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

David Brumley

All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but might have been afraid to ask) (Oakland 2010)
Thanassis Avgerinos, Edward Schwartz, David Brumley

Stefan Brunthaler

SoK: Automated Software Diversity (Oakland 2014)
Per Larsen, Andrei Homescu, Stefan Brunthaler, Michael Franz

Erik Buchholz

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)
Erik Buchholz, Sharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere

Mindaugas Budzys

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas

Sven Bugiel

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)
Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick McDaniel, Matthew Smith

Nathan Burow

SoK: Shining Light on Shadow Stacks (Oakland 2019)
Nathan Burow, Xinping Zhang, Mathias Payer

Elie Bursztein

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)
Jason Bau, Elie Bursztein, Divij Gupta, John Mitchell

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)
Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, Céline Fabry

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Kevin Butler

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)
Jing Tian, Nolen Scaife, Deepak Kumar, Michael Bailey, Adam Bates, Kevin Butler

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)
Seth Layton, Tyler Tucker, Daniel Olszewski, Kevin Warren, Kevin Butler, Patrick Traynor

SoK: Towards a Unified Approach to Applied Replicability for Computer Security (USENIX 2025)
Daniel Olszewski, Tyler Tucker, Kevin Butler, Patrick Traynor

Zinta Byrne

The Psychology of Security for the Home Computer User (Oakland 2012)
Adele Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, Zinta Byrne

José Cabrero-Holgueras

SoK: Privacy-Preserving Computation Techniques for Deep Learning (PETS 2021)
José Cabrero-Holgueras, Sergio Pastrana

Ran Canetti

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

Alessandro Cantelli-Forti

SoK: The Cyber Attack Surface of Unmanned Vehicles (UxVs) (EuroS&P 2026)
Alessandro Cantelli-Forti, Hosam Alamleh

Clinton Cao

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Jiannong Cao

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Francesco Capano

SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy (SaTML 2026)
Francesco Capano, Jonas Boehler, Benjamin Weggenmann

Srdjan Capkun

SoK: Secure Data Deletion (Oakland 2013)
Joel Reardon, David Basin, Srdjan Capkun

Bogdan Carbunar

SoK: Plausibly Deniable Storage (PETS 2022)
Chen Chen, Xiao Liang, Bogdan Carbunar, Radu Sion

Alvaro A. Cardenas

SoK: Security of Programmable Logic Controllers (USENIX 2024)
Efrén López-Morales, Ulysse Planta, Carlos Rubio-Medrano, Ali Abbasi, Alvaro A. Cardenas

Alvaro Cardenas

SoK: A Defense-Oriented Evaluation of Software Supply Chain Security (EuroS&P 2026)
Eman Abu Ishgair, Juanita Gomez, Marcela S. Melara, Alvaro Cardenas, Santiago Torres-Arias

Vincenzo Carletti

SoK: Gradient Inversion Attacks in Federated Learning (USENIX 2025)
Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento

Nicholas Carlini

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Michele Carminati

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Sílvia Casacuberta

SoK: Oblivious Pseudorandom Functions (EuroS&P 2022)
Sílvia Casacuberta, Julia Hesse, Anja Lehmann

Marco Caselli

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Stephen Casper

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)
Tilman Rauker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell

Adam Caulfield

SoK: Integrity, Attestation, and Auditing of Program Execution (Oakland 2025)
Mahmoud Ammar, Adam Caulfield, Ivan De Oliveira Nunes

Sunjay Cauligi

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)
Sunjay Cauligi, Craig Disselkoen, Daniel Moghimi, Gilles Barthe, Deian Stefan

David Cerdeira

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)
David Cerdeira, Nuno Santos, Pedro Fonseca, Sandro Pinto

Stefanos Chaliasos

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)
Stefanos Chaliasos, Jens Ernstberger, David Theodore, David Wong, Mohammad Jahanara, Benjamin Livshits

Caleb Chang

SoK: Space Infrastructures Vulnerabilities, Attacks and Defenses (Oakland 2025)
Jose Luis Castanon Remy, Ekzhin Ear, Caleb Chang, Antonia Feffer, Shouhuai Xu

Sylvain Chatel

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)
Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Rahul Chatterjee

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)
Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Yaohui Chen

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Yinfang Chen

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Chen Chen

SoK: Plausibly Deniable Storage (PETS 2022)
Chen Chen, Xiao Liang, Bogdan Carbunar, Radu Sion

Tingjun Chen

SoK: Secure Human-centered Wireless Sensing (PETS 2024)
Wei Sun, Tingjun Chen, Neil Gong

Min Chen

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Jiming Chen

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Simin Chen

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Chun Chen

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Xun Chen

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Peng Cheng

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Giovanni Cherubin

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

David Chisnall

SoK: Software Compartmentalization (Oakland 2025)
Hugo Lefeuvre, Nathan Dautenhahn, David Chisnall, Pierre Olivier

David Choffnes

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)
Ruimin Sun, Alejandro Mera, Long Lu, David Choffnes

Kevin Choi

SoK: Distributed Randomness Beacons (Oakland 2023)
Kevin Choi, Aathira Manoj, Joseph Bonneau

Sherman S. M. Chow

SoK: Cryptographic Neural-Network Computation (Oakland 2023)
Lucien K. L Ng, Sherman S. M. Chow

Miranda Christ

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Nicolas Christin

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Laurent Chuat

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)
Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David Basin, Adrian Perrig

Yunsung Chung

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation (USENIX 2025)
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm

Jeremy Clark

SoK: SSL and HTTPS: Revisiting Past Challenges and Evaluating Certificate Trust Model Enhancements (Oakland 2013)
Jeremy Clark, Paul C. van Oorschot

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten

Allen Clement

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)
Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi

Sunny Consolvo

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Mauro Conti

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)
Mohamad Mansouri, Melek Onen, Wafa Ben Jaballah, Mauro Conti

SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model (Oakland 2024)
Jelle Vos, Mauro Conti, Zekeriya Erkin

Andrea Continella

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Miguel Nuno Dias Alves Pupo Correia

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)
Andre Augusto, Rafael Belchior, Miguel Nuno Dias Alves Pupo Correia, Andre Vasconcelos, Luyao Zhang, Thomas Hardjono

Véronique Cortier

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)
David Bernhard, Véronique Cortier, David Galindo, Olivier Pereira, Bogdan Warinschi

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)
Véronique Cortier, David Galindo, Ralf Kuesters, Johannes Mueller, Tomasz Truderung

Thomas Cory

SoK: After Decades of Web Tracker Detection, What’s Next? (Oakland 2026)
Wolf Rieder, Philip Raschke, Thomas Cory, Christian René Sechting, Aditya Kumar, Axel Küpper

Amanda Coston

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari

Scott E. Coull

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)
Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart, Thomas Shrimpton

Davide Crapis

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Cas Cremers

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

Emiliano De Cristofaro

SoK: The Hitchhiker’s Guide to Efficient, End-to-End, and Tight DP Auditing (SaTML 2026)
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro

Addison Crump

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

Alejandro Cuevas

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Robert K. Cunningham

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Dana Cuomo

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Markus Dürmuth

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)
Theodor Schnitzler, Shujaat Mirza, Markus Dürmuth, Christina Pöpper

Alaa Daffalla

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Savino Dambra

SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap (Oakland 2020)
Savino Dambra, Leyla Bilge, Davide Balzarotti

Sanjeev Das

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)
Sanjeev Das, Jan Werner, Manos Antonakakis, Michalis Polychronakis, Fabian Monrose

Sauvik Das

SoK: Social Cybersecurity (Oakland 2022)
Yuxi Wu, W. Keith Edwards, Sauvik Das

Anupam Datta

SoK: Differential Privacy as a Causal Property (Oakland 2020)
Michael C. Tschantz, Shayak Sen, Anupam Datta

Nathan Dautenhahn

SoK: Software Compartmentalization (Oakland 2025)
Hugo Lefeuvre, Nathan Dautenhahn, David Chisnall, Pierre Olivier

Joe DeBlasio

SoK: SCT Auditing in Certificate Transparency (PETS 2022)
Sarah Meiklejohn, Joe DeBlasio, Devon O’Brien, Chris Thompson, Kevin Yeo, Emily Stark

Sergej Dechand

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

Jean Paul Degabriele

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)
Jean Paul Degabriele, Jan Gilcher, Jérôme Govinden, Kenneth G. Paterson

Nicola Dell

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Gelei Deng

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)
Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Damien Desfontaines

SoK: Differential privacies (PETS 2020)
Damien Desfontaines, Balázs Pejó

Ghada Dessouky

SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities (EuroS&P 2021)
Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi

Dominic Deuber

SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Experts and Legal Practitioners (PETS 2022)
Dominic Deuber, Viktoria Ronge, Christian Rückert

Claudia Diaz

OB-PWS: Obfuscation-Based Private Web Search (Oakland 2012)
Ero Balsa, Carmela Troncoso, Claudia Diaz

Onyinye Dibia

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

John Dickerson

SoK: Fair Clustering: Critique, Caveats, and Future Directions (SaTML 2025)
John Dickerson, Seyed Esmaeili, Jamie Morgenstern, Claire Jie Zhang

Simon Dieck

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Christian J. Dietrich

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

Bolin Ding

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Angel Ding

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Pengyu Ding

SoK: Take a Deep Step into Linux Kernel Hardening Effectiveness from the Offensive-Defensive Perspective (NDSS 2026)
Yinhao Hu, Pengyu Ding, Zhenpeng Lin, Dongliang Mu, Yuan Li

Craig Disselkoen

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)
Sunjay Cauligi, Craig Disselkoen, Daniel Moghimi, Gilles Barthe, Deian Stefan

Yushun Dong

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Adam Doupé

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)
Huahong Tu, Adam Doupé, Ziming Zhao, Gail-Joon Ahn

Linkang Du

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Jiacheng Du

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Vasisht Duddu

SoK: Unintended Interactions among Machine Learning Defenses and Risks (Oakland 2024)
Vasisht Duddu, Sebastian Szyller, N. Asokan

Mohammed Al Duniawi

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)
Tushar Nayan, Qiming Guo, Mohammed Al Duniawi, Marcus Botacin, Selcuk Uluagac, Ruimin Sun

Zakir Durumeric

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Andrew Dutcher

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Kevin P. Dyer

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)
Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart, Thomas Shrimpton

Ekzhin Ear

SoK: Space Infrastructures Vulnerabilities, Attacks and Defenses (Oakland 2025)
Jose Luis Castanon Remy, Ekzhin Ear, Caleb Chang, Antonia Feffer, Shouhuai Xu

Thijs van Ede

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

W. Keith Edwards

SoK: Social Cybersecurity (Oakland 2022)
Yuxi Wu, W. Keith Edwards, Sauvik Das

Michel van Eeten

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Yael Eiger

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner

Yuval Elovici

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)
Ben Nassi, Ron Bitton, Ryusuke Masuoka, Asaf Shabtai, Yuval Elovici

SoK: Cybersecurity Assessment of Humanoid Ecosystem (EuroS&P 2026)
Priyanka Surve, Asaf Shabtai, Yuval Elovici

Fatima Elsheimy

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

Pardis Emami-Naeini

SoK: (Un)usable Privacy: the Lack of Overlap between Privacy-Aware Sensing and Usable Privacy Research (PETS 2025)
Yasha Iravantchi, Pardis Emami-Naeini, Alanson Sample

Steffen Enders

SoK: No Goto, No Cry? The Fairy Tale of Flawless Control-Flow Structuring (EuroS&P 2025)
Eva-Maria C. Behner, Steffen Enders, Elmar Padilla

Gal Engelberg

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Alessandro Epasto

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)
Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi

Gregory Epiphaniou

SoK: Security of EMV Contactless Payment Systems (EuroS&P 2025)
Mahshid Mehr Nezhad, Feng Hao, Gregory Epiphaniou, Carsten Maple, Timur Yunusov

Zekeriya Erkin

SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model (Oakland 2024)
Jelle Vos, Mauro Conti, Zekeriya Erkin

Jens Ernstberger

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)
Stefanos Chaliasos, Jens Ernstberger, David Theodore, David Wong, Mohammad Jahanara, Benjamin Livshits

Seyed Esmaeili

SoK: Fair Clustering: Critique, Caveats, and Future Directions (SaTML 2025)
John Dickerson, Seyed Esmaeili, Jamie Morgenstern, Claire Jie Zhang

Aliai Eusebi

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

David Evans

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

Andres Fabrega

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Céline Fabry

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)
Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, Céline Fabry

Sascha Fahl

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)
Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick McDaniel, Matthew Smith

Jaiden Fairoze

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Francesca Falzon

SoK: Cryptographic Authenticated Dictionaries (NDSS 2026)
Harjasleen Malvai, Francesca Falzon, Andrew Zitek-Estrada, Sarah Meiklejohn, Joseph Bonneau

Stephen Fan

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)
Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Aurore Fass

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Manuel Faysse

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) (SaTML 2025)
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Antonia Feffer

SoK: Space Infrastructures Vulnerabilities, Attacks and Defenses (Oakland 2025)
Jose Luis Castanon Remy, Ekzhin Ear, Caleb Chang, Antonia Feffer, Shouhuai Xu

Edward W. Felten

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten

Siji Feng

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Yuanyuan Feng

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Earlence Fernandes

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)
Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Bernardo Ferreira

SoK: Self-Generated Nudes over Private Chats: How can Technology Contribute to a Safer Sexting? (Oakland 2025)
Joel Samper, Bernardo Ferreira

Tobias Fiebig

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Ferdinando Fioretto

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Raphael Fischer

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Pasquale Foggia

SoK: Gradient Inversion Attacks in Federated Learning (USENIX 2025)
Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento

Pedro Fonseca

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)
David Cerdeira, Nuno Santos, Pedro Fonseca, Sandro Pinto

Jordi Forné

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)
Àlex Miranda-Pascual, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe

David Forsyth

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Aurélien Francillon

SoK: Fraud in Telephony Networks (EuroS&P 2017)
Merve Sahin, Aurélien Francillon, Payas Gupta, Mustaque Ahamad

Michael Franz

SoK: Automated Software Diversity (Oakland 2014)
Per Larsen, Andrei Homescu, Stefan Brunthaler, Michael Franz

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Felix C. Freiling

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)
Michael Becher, Felix C. Freiling, Johannes Hoffmann, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf

Kevin Fu

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)
Chen Yan, Hocheol Shin, Connor Bolton, Wenyuan Xu, Yongdae Kim, Kevin Fu

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Benjamin Fuller

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Teddy Furon

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems (SaTML 2026)
Quentin Le Roux, Yannick Teglia, Teddy Furon, Philippe Loubet Moundi, Eric Bourbao

Carlos Gañán

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Vijay Gadepally

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

David Galindo

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)
David Bernhard, Véronique Cortier, David Galindo, Olivier Pereira, Bogdan Warinschi

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)
Véronique Cortier, David Galindo, Ralf Kuesters, Johannes Mueller, Tomasz Truderung

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)
Rujia Li, Qin Wang, Qi Wang, David Galindo, Mark Ryan

Prakhar Ganesh

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Sanjam Garg

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Christina Garman

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Gonzalo Garrido

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Gonzalo Munilla Garrido

SoK: Data Privacy in Virtual Reality (PETS 2024)
Gonzalo Munilla Garrido, Vivek Nair, Dawn Song

Sneha Gaur

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Chang Ge

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Daniel Genkin

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Paul Gerhart

SoK: Descriptive Statistics Under Local Differential Privacy (PETS 2025)
René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder

Arthur Gervais

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

Taha Gharaibeh

SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework (USENIX 2025)
Ali Teymourian, Andrew M. Webb, Taha Gharaibeh, Arushi Ghildiyal, Ibrahim Baggili

Arushi Ghildiyal

SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework (USENIX 2025)
Ali Teymourian, Andrew M. Webb, Taha Gharaibeh, Arushi Ghildiyal, Ibrahim Baggili

Jan Gilcher

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)
Jean Paul Degabriele, Jan Gilcher, Jérôme Govinden, Kenneth G. Paterson

Cristiano Giuffrida

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)
Erik van der Kouwe, Gernot Heiser, Dennis Andriesse, Herbert Bos, Cristiano Giuffrida

Connor Glosner

SoK: All You Ever Wanted to Know About Bootloader Security But Were Afraid to Ask (Oakland 2026)
Connor Glosner, Aravind Machiry

Ian Goldberg

Formalizing Anonymous Blacklisting Systems (Oakland 2011)
Ryan Henry, Ian Goldberg

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

SoK: Privacy-Preserving Reputation Systems (PETS 2021)
Stan Gurtler, Ian Goldberg

SoK: Metadata-Protecting Communication Systems (PETS 2024)
Sajin Sasy, Ian Goldberg

Juanita Gomez

SoK: A Defense-Oriented Evaluation of Software Supply Chain Security (EuroS&P 2026)
Eman Abu Ishgair, Juanita Gomez, Marcela S. Melara, Alvaro Cardenas, Santiago Torres-Arias

Neil Gong

SoK: Secure Human-centered Wireless Sensing (PETS 2024)
Wei Sun, Tingjun Chen, Neil Gong

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Jérôme Govinden

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)
Jean Paul Degabriele, Jan Gilcher, Jérôme Govinden, Kenneth G. Paterson

Akul Goyal

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Lea Gröber

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

Matthew Green

SoK: Cryptographic Confidentiality of Data on Mobile Devices (PETS 2022)
Maximilian Zinkus, Tushar M. Jois, Matthew Green

Chris Grier

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

John Grosen

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Igor Santos Grueiro

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)
Xabier Ugarte-Pedrero, Davide Balzarotti, Igor Santos Grueiro, Pablo Garcia Bringas

Dawu Gu

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Shenghua Guan

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Patricia Guerra-Balboa

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)
Àlex Miranda-Pascual, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe

Carlos Guestrin

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

Giancarlo Guizzardi

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Sam Gunn

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Qiming Guo

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)
Tushar Nayan, Qiming Guo, Mohammed Al Duniawi, Marcus Botacin, Selcuk Uluagac, Ruimin Sun

Wenbo Guo

SoK: Attack and Defense Landscape of Agentic AI Systems (USENIX 2026)
Juhee Kim, Wenbo Guo, Dawn Song

Divij Gupta

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)
Jason Bau, Elie Bursztein, Divij Gupta, John Mitchell

Payas Gupta

SoK: Fraud in Telephony Networks (EuroS&P 2017)
Merve Sahin, Aurélien Francillon, Payas Gupta, Mustaque Ahamad

Stan Gurtler

SoK: Privacy-Preserving Reputation Systems (PETS 2021)
Stan Gurtler, Ian Goldberg

Dylan Hadfield-Menell

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)
Tilman Rauker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell

Thomas Haines

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)
Thomas Haines, Rafieh Mosaheb, Johannes Mueller, Ivan Pryvalov

Ariel Hamlin

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Jihun Hamm

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation (USENIX 2025)
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm

Xingshuo Han

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)
Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Sheng Hang

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Simon Hanisch

SoK: Multi-Perspective-Video-Anonymization (PETS 2026)
Islam Amar, Omar Moured, Simon Hanisch, Thorsten Strufe

Feng Hao

SoK: Security of EMV Contactless Payment Systems (EuroS&P 2025)
Mahshid Mehr Nezhad, Feng Hao, Gregory Epiphaniou, Carsten Maple, Timur Yunusov

Md Sadun Haq

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)
Md Sadun Haq, Thien Duc Nguyan, Franziska Volmer, Ali Saman Tosun, Ahmad Reza Sadeghi, Turgay Korkmaz

Mirazul Haque

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Ben Hardekopf

Timing- and Termination-Sensitive Secure Information Flow: Exploring a New Approach (Oakland 2011)
Vineeth Kashyap, Ben Wiedermann, Ben Hardekopf

Thomas Hardjono

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)
Andre Augusto, Rafael Belchior, Miguel Nuno Dias Alves Pupo Correia, Andre Vasconcelos, Luyao Zhang, Thomas Hardjono

Jacob Harrison

SoK: A Security Architect’s View of Printed Circuit Board Attacks (USENIX 2025)
Jacob Harrison, Nathan Jessurun, Mark Tehranipoor

Raiful Hasan

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion (EuroS&P 2026)
Shahriar Rahman Khan, Tariqul Islam, Raiful Hasan

Wajih Ul Hassan

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Marcella Hastings

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)
Marcella Hastings, Brett Hemenway, Daniel Noble, Steve Zdancewic

Christophe Hauser

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Jamie Hayes

SoK: The Hitchhiker’s Guide to Efficient, End-to-End, and Tight DP Auditing (SaTML 2026)
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro

Amy W. Hays

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Weijia He

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

Zhengyu He

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Chaoxiang He

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Aditya Hegde

SoK: Efficient Privacy-preserving Clustering (PETS 2021)
Aditya Hegde, Helen Möllering, Thomas Schneider, Hossein Yalame

Hoda Heidari

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari

Michael P. Heinl

SoK: The Engineer’s Guide to Post-Quantum Cryptography for Embedded Devices (EuroS&P 2026)
Nikolai Puch, Maximilian Pursche, Sebastian Peters, Michael P. Heinl

Gernot Heiser

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)
Erik van der Kouwe, Gernot Heiser, Dennis Andriesse, Herbert Bos, Cristiano Giuffrida

Brett Hemenway

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)
Marcella Hastings, Brett Hemenway, Daniel Noble, Steve Zdancewic

Ted Henriksson

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? (EuroS&P 2026)
Robert A. Bridges, Thomas R. Mitchell, Mauricio Muñoz, Ted Henriksson

Ryan Henry

Formalizing Anonymous Blacklisting Systems (Oakland 2011)
Ryan Henry, Ian Goldberg

Cormac Herley

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)
Joseph Bonneau, Cormac Herley, Paul C. van Oorschot, Frank Stajano

SoK: Science, Security, and the Elusive Goal of Security as a Scientific Pursuit (Oakland 2017)
Cormac Herley, Paul C. van Oorschot

Julia Hesse

SoK: Oblivious Pseudorandom Functions (EuroS&P 2022)
Sílvia Casacuberta, Julia Hesse, Anja Lehmann

Josiah Hester

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

Raphael Hiesgen

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)
Marcin Nawrocki, John Kristoff, Chris Kanich, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch

Anwar Hithnawi

SoK: An Overview of FHE Compilers and Tools (Oakland 2021)
Alexander Viand, Patrick Jattke, Anwar Hithnawi

Anson Ho

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)
Tilman Rauker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell

Johannes Hoffmann

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)
Michael Becher, Felix C. Freiling, Johannes Hoffmann, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf

James K Holland

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)
Nate Mathews, James K Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Ken Holstein

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari

Nadja Ramhöj Holtryd

SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations (EuroS&P 2023)
Nadja Ramhöj Holtryd, Madhavan Manivannan, Per Stenström

Thorsten Holz

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)
Michael Becher, Felix C. Freiling, Johannes Hoffmann, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

SoK: A Systematic Review of Integration and Reproducibility of Fuzzing Research into AFL++ (EuroS&P 2026)
Nico Schiller, Nils Bars, Moritz Schloegel, Thorsten Holz

Andrei Homescu

SoK: Automated Software Diversity (Oakland 2014)
Per Larsen, Andrei Homescu, Stefan Brunthaler, Michael Franz

Jingtao Hong

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

Sanghyun Hong

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Nicholas Hopper

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)
Nate Mathews, James K Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Péter Horváth

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)
Péter Horváth, Dirk Lauret, Zhuoran Liu, Lejla Batina

Rui Hou

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Sebastian Houben

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Adele Howe

The Psychology of Security for the Home Computer User (Oakland 2012)
Adele Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, Zinta Byrne

Yuzheng Hu

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Yiwei Hu

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Daqi Hu

SoK: Understanding zk-SNARKs: The Gap Between Research and Practice (USENIX 2025)
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, Zhonghai Wu

Jiahui Hu

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Yinhao Hu

SoK: Take a Deep Step into Linux Kernel Hardening Effectiveness from the Offensive-Defensive Perspective (NDSS 2026)
Yinhao Hu, Pengyu Ding, Zhenpeng Lin, Dongliang Mu, Yuan Li

Hongsheng Hu

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Hanqing Hu

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Yue Huang

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)
Borke Obada-Obieh, Yue Huang, Lucrezia Spagnolo, Konstantin

Kaiming Huang

SoK: Challenges and Paths Toward Memory Safety for eBPF (Oakland 2025)
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger

Junjie Huang

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Jean-Pierre Hubaux

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)
Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Daniel Hugenroth

SoK: Web Authentication and Recovery in the Age of End-to-End Encryption (PETS 2025)
Jenny Blessing, Daniel Hugenroth, Ross J. Anderson, Alastair R. Beresford

Soheil Human

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Md Imanul Huq

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Aftab Hussain

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Alice Hutchings

SoK: Digging into the Digital Underworld of Stolen Data Markets (Oakland 2025)
Tina Marjanov, Alice Hutchings

Jevan Hutson

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Md Mahmudul Alam Imon

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness (Oakland 2026)
Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman

Muhammad Adil Inam

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Nathan Inkawhich

SoK: A Review of Differentially Private Linear Models For High Dimensional Data (SaTML 2024)
Amol Khanna, Edward Raff, Nathan Inkawhich

Yasha Iravantchi

SoK: (Un)usable Privacy: the Lack of Overlap between Privacy-Aware Sensing and Usable Privacy Research (PETS 2025)
Yasha Iravantchi, Pardis Emami-Naeini, Alanson Sample

Eman Abu Ishgair

SoK: A Defense-Oriented Evaluation of Software Supply Chain Security (EuroS&P 2026)
Eman Abu Ishgair, Juanita Gomez, Marcela S. Melara, Alvaro Cardenas, Santiago Torres-Arias

Fabian Ising

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

Tariqul Islam

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion (EuroS&P 2026)
Shahriar Rahman Khan, Tariqul Islam, Raiful Hasan

Wafa Ben Jaballah

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)
Mohamad Mansouri, Melek Onen, Wafa Ben Jaballah, Mauro Conti

Trent Jaeger

SoK: Challenges and Paths Toward Memory Safety for eBPF (Oakland 2025)
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger

Matthew Jagielski

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Mohammad Jahanara

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)
Stefanos Chaliasos, Jens Ernstberger, David Theodore, David Wong, Mohammad Jahanara, Benjamin Livshits

Bhushan Jain

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)
Bhushan Jain, Mirza Basim Baig, Dongli Zhang, Donald E. Porter, Radu Sion

Shubham Jain

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) (SaTML 2025)
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Matthias Jakobs

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Louis Jannett

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)
Louis Jannett, Maximilian Westers, Tobias Wich, Christian Mainka, Andreas Mayer, Vladislav Mladenov

Patrick Jattke

SoK: An Overview of FHE Compilers and Tools (Oakland 2021)
Alexander Viand, Patrick Jattke, Anwar Hithnawi

Nathan Jessurun

SoK: A Security Architect’s View of Printed Circuit Board Attacks (USENIX 2025)
Jacob Harrison, Nathan Jessurun, Mark Tehranipoor

Sanjay Jha

SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers (Oakland 2025)
Nimesha Wickramasinghe, Arash Shaghaghi, Gene Tsudik, Sanjay Jha

Somesh Jha

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Xiaoyu Ji

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Zhenlan Ji

SoK: Evaluating Jailbreak Guardrails for Large Language Models (Oakland 2026)
Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

Xuxian Jiang

Dissecting Android Malware: Characterization and Evolution (Oakland 2012)
Yajin Zhou, Xuxian Jiang

Edward Jiang

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

Yan Jiang

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

Qinhong Jiang

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Hai Jin

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Tushar M. Jois

SoK: Cryptographic Confidentiality of Data on Mobile Devices (PETS 2022)
Maximilian Zinkus, Tushar M. Jois, Matthew Green

Nikola Jovanović

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Philipp Jovanovic

SoK: Public Randomness (EuroS&P 2024)
Alireza Kavousi, Zhipeng Wang, Philipp Jovanovic

Marc Juarez

SoK: What Makes Private Learning Unfair? (SaTML 2025)
Kai Yao, Marc Juarez

Jordan Jueckstock

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci

Dan Jurafsky

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)
Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, Céline Fabry

Boris Köpf

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

Axel Küpper

SoK: After Decades of Web Tracker Detection, What’s Next? (Oakland 2026)
Wolf Rieder, Philip Raschke, Thomas Cory, Christian René Sechting, Aditya Kumar, Axel Küpper

Georgios Kaissis

SoK: The Hitchhiker’s Guide to Efficient, End-to-End, and Tight DP Auditing (SaTML 2026)
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro

Seny Kamara

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)
Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli

Salil S. Kanhere

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)
Erik Buchholz, Sharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere

SoK: Trusting Self-Sovereign Identity (PETS 2024)
Evan Krul, Hye-young Paik, Sushmita Ruj, Salil S. Kanhere

Chris Kanich

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)
Marcin Nawrocki, John Kristoff, Chris Kanich, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch

Alexandros Kapravelos

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci

Vineeth Kashyap

Timing- and Termination-Sensitive Secure Information Flow: Exploring a New Approach (Oakland 2011)
Vineeth Kashyap, Ben Wiedermann, Ben Hardekopf

Jonas Kaspereit

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

Abdelkarim Kati

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)
Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli

Alireza Kavousi

SoK: Public Randomness (EuroS&P 2024)
Alireza Kavousi, Zhipeng Wang, Philipp Jovanovic

SoK: Dlog-Based Distributed Key Generation (Oakland 2025)
Renas Bacho, Alireza Kavousi

Anna Kawakami

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari

Patrick Gage Kelley

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Florian Kerschbaum

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

Christoph Kerschbaumer

SoK: All or Nothing - A Postmortem of Solutions to the Third-Party Script Inclusion Permission Model and a Path Forward (EuroS&P 2022)
Steven Sprecher, Christoph Kerschbaumer, Engin Kirda

Tanveer Khan

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas

Shahriar Rahman Khan

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion (EuroS&P 2026)
Shahriar Rahman Khan, Tariqul Islam, Raiful Hasan

Amol Khanna

SoK: A Review of Differentially Private Linear Models For High Dimensional Data (SaTML 2024)
Amol Khanna, Edward Raff, Nathan Inkawhich

Yongdae Kim

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)
Chen Yan, Hocheol Shin, Connor Bolton, Wenyuan Xu, Yongdae Kim, Kevin Fu

Michael Jaemin Kim

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms (Oakland 2026)
Michael Jaemin Kim, Seungmin Baek, Jumin Kim, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn

Jumin Kim

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms (Oakland 2026)
Michael Jaemin Kim, Seungmin Baek, Jumin Kim, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn

Nam Sung Kim

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms (Oakland 2026)
Michael Jaemin Kim, Seungmin Baek, Jumin Kim, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn

Juhee Kim

SoK: Attack and Defense Landscape of Agentic AI Systems (USENIX 2026)
Juhee Kim, Wenbo Guo, Dawn Song

Jiwon Kim

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework (EuroS&P 2025)
Minh Binh Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, Shahroz Tariq

Engin Kirda

SoK: Cryptojacking Malware (EuroS&P 2021)
Ege Tekiner, Abbas Acar, A. Selcuk Uluagac, Engin Kirda, Ali Aydin Selcuk

SoK: All or Nothing - A Postmortem of Solutions to the Third-Party Script Inclusion Permission Model and a Path Forward (EuroS&P 2022)
Steven Sprecher, Christoph Kerschbaumer, Engin Kirda

Ágnes Kiss

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)
Ágnes Kiss, Masoud Naderpour, Jian Liu, N. Asokan, Thomas Schneider

Dan Klein

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Alexandra Klymenko

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems (SaTML 2026)
Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes

William Knottenbelt

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Tadayoshi Kohno

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner

David Koisser

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)
David Koisser, Richard Mitev, Nikita Yadav, Franziska Vollmer, Ahmad-Reza Sadeghi

Konstantin

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)
Borke Obada-Obieh, Yue Huang, Lucrezia Spagnolo, Konstantin

Turgay Korkmaz

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)
Md Sadun Haq, Thien Duc Nguyan, Franziska Volmer, Ali Saman Tosun, Ahmad Reza Sadeghi, Turgay Korkmaz

Eric Koskinen

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Erik van der Kouwe

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)
Erik van der Kouwe, Gernot Heiser, Dennis Andriesse, Herbert Bos, Cristiano Giuffrida

Christian Kreibich

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

John Kristoff

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)
Marcin Nawrocki, John Kristoff, Chris Kanich, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch

Joshua A. Kroll

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten

Christopher Kruegel

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Evan Krul

SoK: Trusting Self-Sovereign Identity (PETS 2024)
Evan Krul, Hye-young Paik, Sushmita Ruj, Salil S. Kanhere

Ralf Kuesters

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)
Véronique Cortier, David Galindo, Ralf Kuesters, Johannes Mueller, Tomasz Truderung

Deepak Kumar

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)
Jing Tian, Nolen Scaife, Deepak Kumar, Michael Bailey, Adam Bates, Kevin Butler

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Aditya Kumar

SoK: After Decades of Web Tracker Detection, What’s Next? (Oakland 2026)
Wolf Rieder, Philip Raschke, Thomas Cory, Christian René Sechting, Aditya Kumar, Axel Küpper

Nihal Kumarswamy

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Denis Foo Kune

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)
Michael Rushanan, Colleen Swanson, Denis Foo Kune, Aviel D. Rubin

Efrén López-Morales

SoK: Security of Programmable Logic Controllers (USENIX 2024)
Efrén López-Morales, Ulysse Planta, Carlos Rubio-Medrano, Ali Abbasi, Alvaro A. Cardenas

Amanda Lacy

SoK: Inaccessible & Insecure: An Exposition of Authentication Challenges Faced by Blind and Visually Impaired Users in State-of-the-Art Academic Proposals (USENIX 2025)
Md Mojibur Rahman Redoy Akanda, Amanda Lacy, Nitesh Saxena

Piergiorgio Ladisa

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)
Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais

Pierre Laperdrix

SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers (EuroS&P 2021)
Thomas Rokicki, Clémentine Maurice, Pierre Laperdrix

Per Larsen

SoK: Automated Software Diversity (Oakland 2014)
Per Larsen, Andrei Homescu, Stefan Brunthaler, Michael Franz

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Pavel Laskov

SoK: The Impact of Unlabelled Data in Cyberthreat Detection (EuroS&P 2022)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection (EuroS&P 2023)
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Silvio Lattanzi

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)
Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi

Jan Lauinger

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

Dirk Lauret

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)
Péter Horváth, Dirk Lauret, Zhuoran Liu, Lejla Batina

Seth Layton

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)
Seth Layton, Tyler Tucker, Daniel Olszewski, Kevin Warren, Kevin Butler, Patrick Traynor

Minh Binh Le

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework (EuroS&P 2025)
Minh Binh Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, Shahroz Tariq

Jenna Lee

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Hugo Lefeuvre

SoK: Software Compartmentalization (Oakland 2025)
Hugo Lefeuvre, Nathan Dautenhahn, David Chisnall, Pierre Olivier

Axel Legay

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)
Igor Zavalyshyn, Axel Legay, Annanda Rath, Etienne Riviere

Anja Lehmann

SoK: Oblivious Pseudorandom Functions (EuroS&P 2022)
Sílvia Casacuberta, Julia Hesse, Anja Lehmann

Ada Lerner

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Julian Lettner

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Chaz Lever

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)
Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose

Xinda Li

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

Linyi Li

SoK: Certified Robustness for Deep Neural Networks (Oakland 2023)
Linyi Li, Tao Xie, Bo Li

Bo Li

SoK: Certified Robustness for Deep Neural Networks (Oakland 2023)
Linyi Li, Tao Xie, Bo Li

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Rujia Li

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)
Rujia Li, Qin Wang, Qi Wang, David Galindo, Mark Ryan

Jiwei Li

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)
Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Qinbin Li

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Zhen Li

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Ying Li

SoK: Towards Effective Automated Vulnerability Repair (USENIX 2025)
Ying Li, Faysal Hossain Shezan, Bomin Wei, Gang Wang, Yuan Tian

Tingxi Li

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Lei Li

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Yuan Li

SoK: Take a Deep Step into Linux Kernel Hardening Effectiveness from the Offensive-Defensive Perspective (NDSS 2026)
Yinhao Hu, Pengyu Ding, Zhenpeng Lin, Dongliang Mu, Yuan Li

Zongjie Li

SoK: Evaluating Jailbreak Guardrails for Large Language Models (Oakland 2026)
Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

Xiao Liang

SoK: Plausibly Deniable Storage (PETS 2022)
Chen Chen, Xiao Liang, Bogdan Carbunar, Radu Sion

Junkai Liang

SoK: Understanding zk-SNARKs: The Gap Between Research and Practice (USENIX 2025)
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, Zhonghai Wu

Yujun Liang

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Kevin Liao

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

Zhenpeng Lin

SoK: Take a Deep Step into Linux Kernel Hardening Effectiveness from the Offensive-Defensive Perspective (NDSS 2026)
Yinhao Hu, Pengyu Ding, Zhenpeng Lin, Dongliang Mu, Yuan Li

Martina Lindorfer

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Chen Ling

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Zhibo Liu

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)
Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao

Jason Liu

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Jian Liu

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)
Ágnes Kiss, Masoud Naderpour, Jian Liu, N. Asokan, Thomas Schneider

Yang Liu

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)
Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Zhuoran Liu

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)
Péter Horváth, Dirk Lauret, Zhuoran Liu, Lejla Batina

Yiyong Liu

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark (USENIX 2025)
Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang

Xiuming Liu

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Benjamin Livshits

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)
Stefanos Chaliasos, Jens Ernstberger, David Theodore, David Wong, Mohammad Jahanara, Benjamin Livshits

Yunhui Long

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Yan Long

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Stefano Longari

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Jesus Lopez

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness (Oakland 2026)
Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman

Qian Lou

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Long Lu

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)
Ruimin Sun, Alejandro Mera, Long Lu, David Choffnes

Hang Lu

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Elizabeth Lui

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Nils Lukas

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum

Xiapu Luo

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Helen Möllering

SoK: Efficient Privacy-preserving Clustering (PETS 2021)
Aditya Hegde, Helen Möllering, Thomas Schneider, Hossein Yalame

Jens Müller

SoK: Exploiting Network Printers (Oakland 2017)
Jens Müller, Vladislav Mladenov, Juraj Somorovsky, Jörg Schwenk

Sebastian Müller

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Aravind Machiry

SoK: All You Ever Wanted to Know About Bootloader Security But Were Afraid to Ask (Oakland 2026)
Connor Glosner, Aravind Machiry

Roel Maes

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)
Frederik Armknecht, Roel Maes, Ahmad-Reza Sadeghi, Francois-Xavier Standaert, Christian Wachsmann

Kimberly Mai

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Christian Mainka

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)
Christian Mainka, Vladislav Mladenov, Jörg Schwenk, Tobias Wich

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)
Louis Jannett, Maximilian Westers, Tobias Wich, Christian Mainka, Andreas Mayer, Vladislav Mladenov

Nathan Malkin

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

Harjasleen Malvai

SoK: Cryptographic Authenticated Dictionaries (NDSS 2026)
Harjasleen Malvai, Francesca Falzon, Andrew Zitek-Estrada, Sarah Meiklejohn, Joseph Bonneau

Madhavan Manivannan

SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations (EuroS&P 2023)
Nadja Ramhöj Holtryd, Madhavan Manivannan, Per Stenström

Aathira Manoj

SoK: Distributed Randomness Beacons (Oakland 2023)
Kevin Choi, Aathira Manoj, Joseph Bonneau

Mohamad Mansouri

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)
Mohamad Mansouri, Melek Onen, Wafa Ben Jaballah, Mauro Conti

Bing Mao

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Carsten Maple

SoK: Security of EMV Contactless Payment Systems (EuroS&P 2025)
Mahshid Mehr Nezhad, Feng Hao, Gregory Epiphaniou, Carsten Maple, Timur Yunusov

Enrico Mariconti

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

Tina Marjanov

SoK: Digging into the Digital Underworld of Stolen Data Markets (Oakland 2025)
Tina Marjanov, Alice Hutchings

Nassir Marrouche

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation (USENIX 2025)
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm

Matias Martinez

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)
Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais

Ryusuke Masuoka

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)
Ben Nassi, Ron Bitton, Ryusuke Masuoka, Asaf Shabtai, Yuval Elovici

Nate Mathews

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)
Nate Mathews, James K Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Florian Matthes

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems (SaTML 2026)
Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes

Tara Matthews

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Clémentine Maurice

SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers (EuroS&P 2021)
Thomas Rokicki, Clémentine Maurice, Pierre Laperdrix

Jonathan R. Mayer

Third-Party Web Tracking Policy and Technology (Oakland 2012)
Jonathan R. Mayer, John C. Mitchell

Jonathan Mayer

SoK: Content Moderation for End-to-End Encryption (PETS 2023)
Sarah Scheffler, Jonathan Mayer

SoK: Machine Learning for Misinformation Detection (USENIX 2025)
Madelyne Xiao, Jonathan Mayer

Andreas Mayer

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)
Louis Jannett, Maximilian Westers, Tobias Wich, Christian Mainka, Andreas Mayer, Vladislav Mladenov

Michelle L. Mazurek

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Carlo Mazzocca

SoK: Gradient Inversion Attacks in Federated Learning (USENIX 2025)
Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento

Damon McCoy

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

Jonathan M. McCune

Bootstrapping Trust in Commodity Computers (Oakland 2010)
Bryan Parno, Jonathan M. McCune, Adrian Perrig

Patrick McDaniel

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)
Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick McDaniel, Matthew Smith

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, Michael P. Wellman

Emily McReynolds

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Matthieu Meeus

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) (SaTML 2025)
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Sarah Meiklejohn

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: SCT Auditing in Certificate Transparency (PETS 2022)
Sarah Meiklejohn, Joe DeBlasio, Devon O’Brien, Chris Thompson, Kevin Yeo, Emily Stark

SoK: Cryptographic Authenticated Dictionaries (NDSS 2026)
Harjasleen Malvai, Francesca Falzon, Andrew Zitek-Estrada, Sarah Meiklejohn, Joseph Bonneau

Stephen Meisenbacher

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems (SaTML 2026)
Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes

Fredrik Meisingseth

SoK: Computational and Distributed Differential Privacy for MPC (PETS 2025)
Fredrik Meisingseth

Nicole Meister

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

Marcela S. Melara

SoK: A Defense-Oriented Evaluation of Software Supply Chain Security (EuroS&P 2026)
Eman Abu Ishgair, Juanita Gomez, Marcela S. Melara, Alvaro Cardenas, Santiago Torres-Arias

Alejandro Mera

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)
Ruimin Sun, Alejandro Mera, Long Lu, David Choffnes

Noor Michael

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

Antonis Michalas

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas

Andrew Miller

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Jaron Mink

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner

Àlex Miranda-Pascual

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)
Àlex Miranda-Pascual, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe

Donika Mirdita

SoK: An Introspective Analysis of RPKI Security (USENIX 2025)
Donika Mirdita, Haya Schulmann, Michael Waidner

Shujaat Mirza

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)
Theodor Schnitzler, Shujaat Mirza, Markus Dürmuth, Christina Pöpper

John Mitchell

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)
Jason Bau, Elie Bursztein, Divij Gupta, John Mitchell

John C. Mitchell

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)
Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky, Céline Fabry

Third-Party Web Tracking Policy and Technology (Oakland 2012)
Jonathan R. Mayer, John C. Mitchell

John Darby Mitchell

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Thomas R. Mitchell

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? (EuroS&P 2026)
Robert A. Bridges, Thomas R. Mitchell, Mauricio Muñoz, Ted Henriksson

Richard Mitev

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)
David Koisser, Richard Mitev, Nikita Yadav, Franziska Vollmer, Ahmad-Reza Sadeghi

Vladislav Mladenov

SoK: Exploiting Network Printers (Oakland 2017)
Jens Müller, Vladislav Mladenov, Juraj Somorovsky, Jörg Schwenk

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)
Christian Mainka, Vladislav Mladenov, Jörg Schwenk, Tobias Wich

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)
Louis Jannett, Maximilian Westers, Tobias Wich, Christian Mainka, Andreas Mayer, Vladislav Mladenov

Tarik Moataz

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)
Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli

Daniel Moghimi

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)
Sunjay Cauligi, Craig Disselkoen, Daniel Moghimi, Gilles Barthe, Deian Stefan

David Mohaisen

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

John V. Monaco

SoK: Keylogging Side Channels (Oakland 2018)
John V. Monaco

Fabian Monrose

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)
Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)
Sanjeev Das, Jan Werner, Manos Antonakakis, Michalis Polychronakis, Fabian Monrose

Yves-Alexandre de Montjoye

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) (SaTML 2025)
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Tyler Moore

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Kristen Moore

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework (EuroS&P 2025)
Minh Binh Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, Shahroz Tariq

Jamie Morgenstern

SoK: Fair Clustering: Critique, Caveats, and Future Directions (SaTML 2025)
John Dickerson, Seyed Esmaeili, Jamie Morgenstern, Claire Jie Zhang

Olivia Morkved

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

Rafieh Mosaheb

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)
Thomas Haines, Rafieh Mosaheb, Johannes Mueller, Ivan Pryvalov

Philippe Loubet Moundi

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems (SaTML 2026)
Quentin Le Roux, Yannick Teglia, Teddy Furon, Philippe Loubet Moundi, Eric Bourbao

Omar Moured

SoK: Multi-Perspective-Video-Anonymization (PETS 2026)
Islam Amar, Omar Moured, Simon Hanisch, Thorsten Strufe

Dongliang Mu

SoK: Take a Deep Step into Linux Kernel Hardening Effectiveness from the Offensive-Defensive Perspective (NDSS 2026)
Yinhao Hu, Pengyu Ding, Zhenpeng Lin, Dongliang Mu, Yuan Li

Mauricio Muñoz

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? (EuroS&P 2026)
Robert A. Bridges, Thomas R. Mitchell, Mauricio Muñoz, Ted Henriksson

Johannes Mueller

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)
Véronique Cortier, David Galindo, Ralf Kuesters, Johannes Mueller, Tomasz Truderung

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)
Thomas Haines, Rafieh Mosaheb, Johannes Mueller, Ivan Pryvalov

Marius Muench

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

Yeoul Na

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Azqa Nadeem

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Masoud Naderpour

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)
Ágnes Kiss, Masoud Naderpour, Jian Liu, N. Asokan, Thomas Schneider

Vivek Nair

SoK: Data Privacy in Virtual Reality (PETS 2024)
Gonzalo Munilla Garrido, Vivek Nair, Dawn Song

Hwayong Nam

SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms (Oakland 2026)
Michael Jaemin Kim, Seungmin Baek, Jumin Kim, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn

Arvind Narayanan

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten

Milad Nasr

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Ben Nassi

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)
Ben Nassi, Ron Bitton, Ryusuke Masuoka, Asaf Shabtai, Yuval Elovici

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Muhammad Naveed

SoK: Anatomy of Data Breaches (PETS 2020)
Hamza Saleem, Muhammad Naveed

Marcin Nawrocki

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)
Marcin Nawrocki, John Kristoff, Chris Kanich, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch

Tushar Nayan

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)
Tushar Nayan, Qiming Guo, Mohammed Al Duniawi, Marcus Botacin, Selcuk Uluagac, Ruimin Sun

Joseph P. Near

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Surya Nepal

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)
Erik Buchholz, Sharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere

Mahshid Mehr Nezhad

SoK: Security of EMV Contactless Payment Systems (EuroS&P 2025)
Mahshid Mehr Nezhad, Feng Hao, Gregory Epiphaniou, Carsten Maple, Timur Yunusov

Lucien K. L Ng

SoK: Cryptographic Neural-Network Computation (Oakland 2023)
Lucien K. L Ng, Sherman S. M. Chow

Ivoline Ngong

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Thien Duc Nguyan

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)
Md Sadun Haq, Thien Duc Nguyan, Franziska Volmer, Ali Saman Tosun, Ahmad Reza Sadeghi, Turgay Korkmaz

Khoa Nguyen

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)
Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas

Shirin Nilizadeh

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Shuonan Niu

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Daniel Noble

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)
Marcella Hastings, Brett Hemenway, Daniel Noble, Steve Zdancewic

Maximilian Noppel

SoK: Explainable Machine Learning in Adversarial Environments (Oakland 2024)
Maximilian Noppel, Christian Wressnegger

Saeefa Rubaiyet Nowmi

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness (Oakland 2026)
Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman

Ivan De Oliveira Nunes

SoK: Integrity, Attestation, and Auditing of Program Execution (Oakland 2025)
Mahmoud Ammar, Adam Caulfield, Ivan De Oliveira Nunes

Devon O’Brien

SoK: SCT Auditing in Certificate Transparency (PETS 2022)
Sarah Meiklejohn, Joe DeBlasio, Devon O’Brien, Chris Thompson, Kevin Yeo, Emily Stark

Borke Obada-Obieh

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)
Borke Obada-Obieh, Yue Huang, Lucrezia Spagnolo, Konstantin

Se Eun Oh

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)
Nate Mathews, James K Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Victor Ojewale

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Pierre Olivier

SoK: Software Compartmentalization (Oakland 2025)
Hugo Lefeuvre, Nathan Dautenhahn, David Chisnall, Pierre Olivier

Daniel Olszewski

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)
Seth Layton, Tyler Tucker, Daniel Olszewski, Kevin Warren, Kevin Butler, Patrick Traynor

SoK: Towards a Unified Approach to Applied Replicability for Computer Security (USENIX 2025)
Daniel Olszewski, Tyler Tucker, Kevin Butler, Patrick Traynor

Melek Onen

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)
Mohamad Mansouri, Melek Onen, Wafa Ben Jaballah, Mauro Conti

Paul C. van Oorschot

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)
Joseph Bonneau, Cormac Herley, Paul C. van Oorschot, Frank Stajano

SoK: SSL and HTTPS: Revisiting Past Challenges and Evaluating Certificate Trust Model Enhancements (Oakland 2013)
Jeremy Clark, Paul C. van Oorschot

SoK: Science, Security, and the Elusive Goal of Security as a Scientific Pursuit (Oakland 2017)
Cormac Herley, Paul C. van Oorschot

Marilyne Ordekian

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

Carl von Ossietzky

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Christina Pöpper

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)
Theodor Schnitzler, Shujaat Mirza, Markus Dürmuth, Christina Pöpper

Elmar Padilla

SoK: No Goto, No Cry? The Fairy Tale of Flawless Control-Flow Structuring (EuroS&P 2025)
Eva-Maria C. Behner, Steffen Enders, Elmar Padilla

Hye-young Paik

SoK: Trusting Self-Sovereign Identity (PETS 2024)
Evan Krul, Hye-young Paik, Sushmita Ruj, Salil S. Kanhere

Luca Pajola

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Bijeeta Pal

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)
Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Tommaso Paladini

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Alessandro Panconesi

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)
Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi

Biswabandan Panda

SoK: So, You Think You Know All About Secure Randomized Caches? (USENIX 2025)
Anubhav Bhatla, Hari Rohit Bhavsar, Sayandeep Saha, Biswabandan Panda

Chengbin Pang

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Nicolas Papernot

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, Michael P. Wellman

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor

Bryan Parno

Bootstrapping Trust in Commodity Computers (Oakland 2010)
Bryan Parno, Jonathan M. McCune, Adrian Perrig

SoK: Computer-Aided Cryptography (Oakland 2021)
Manuel Barbosa, Gilles Barthe, Karthik Bhargavan, Bruno Blanchet, Cas Cremers, Kevin Liao, Bryan Parno

Javier Parra-Arnau

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)
Àlex Miranda-Pascual, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe

Giuseppe Parrella

SoK: Gradient Inversion Attacks in Federated Learning (USENIX 2025)
Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento

Sergio Pastrana

SoK: Privacy-Preserving Computation Techniques for Deep Learning (PETS 2021)
José Cabrero-Holgueras, Sergio Pastrana

Kenneth G. Paterson

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)
Jean Paul Degabriele, Jan Gilcher, Jérôme Govinden, Kenneth G. Paterson

Pujan Paudel

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Sonjoy Kumar Paul

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Andrew Paverd

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

Vern Paxson

Outside the Closed World: On Using Machine Learning For Network Intrusion Detection (Oakland 2010)
Robin Sommer, Vern Paxson

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)
Michael C. Tschantz, Sadia Afroz, Anonymous, Vern Paxson

Mathias Payer

SoK: Eternal War in Memory (Oakland 2013)
Laszlo Szekeres, Mathias Payer, Tao Wei, Dawn Song

SoK: Shining Light on Shadow Stacks (Oakland 2019)
Nathan Burow, Xinping Zhang, Mathias Payer

SoK: Challenges and Paths Toward Memory Safety for eBPF (Oakland 2025)
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger

Balázs Pejó

SoK: Differential privacies (PETS 2020)
Damien Desfontaines, Balázs Pejó

Giancarlo Pellegrino

SoK: State of the Krawlers - Evaluating the Effectiveness of Crawling Algorithms for Web Security Measurements (USENIX 2024)
Aleksei Stafeev, Giancarlo Pellegrino

Xuanyao Peng

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Roberto Perdisci

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci

Olivier Pereira

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)
David Bernhard, Véronique Cortier, David Galindo, Olivier Pereira, Bogdan Warinschi

Henning Perl

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

Adrian Perrig

Bootstrapping Trust in Commodity Computers (Oakland 2010)
Bryan Parno, Jonathan M. McCune, Adrian Perrig

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)
Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David Basin, Adrian Perrig

Andreas Peter

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Sebastian Peters

SoK: The Engineer’s Guide to Post-Quantum Cryptography for Embedded Devices (EuroS&P 2026)
Nikolai Puch, Maximilian Pursche, Sebastian Peters, Michael P. Heinl

Sandro Pinto

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)
David Cerdeira, Nuno Santos, Pedro Fonseca, Sandro Pinto

Ulysse Planta

SoK: Security of Programmable Logic Controllers (USENIX 2024)
Efrén López-Morales, Ulysse Planta, Carlos Rubio-Medrano, Ali Abbasi, Alvaro A. Cardenas

Henrik Plate

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)
Piergiorgio Ladisa, Henrik Plate, Matias Martinez, Olivier Barais

Daniel Plohmann

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

Norbert Pohlmann

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

Mario Polino

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Michalis Polychronakis

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)
Sanjeev Das, Jan Werner, Manos Antonakakis, Michalis Polychronakis, Fabian Monrose

Donald E. Porter

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)
Bhushan Jain, Mirza Basim Baig, Dongli Zhang, Donald E. Porter, Radu Sion

Georgios Portokalidis

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Shahrooz Pouryousef

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness (Oakland 2026)
Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman

Jovan Powar

SoK: Managing risks of linkage attacks on data privacy (PETS 2023)
Jovan Powar, Alastair R. Beresford

Ivan Pryvalov

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)
Thomas Haines, Rafieh Mosaheb, Johannes Mueller, Ivan Pryvalov

Nikolai Puch

SoK: The Engineer’s Guide to Post-Quantum Cryptography for Embedded Devices (EuroS&P 2026)
Nikolai Puch, Maximilian Pursche, Sebastian Peters, Michael P. Heinl

Maximilian Pursche

SoK: The Engineer’s Guide to Post-Quantum Cryptography for Embedded Devices (EuroS&P 2026)
Nikolai Puch, Maximilian Pursche, Sebastian Peters, Michael P. Heinl

Apostolos Pyrgelis

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)
Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Zhiyun Qian

SoK: Challenges and Paths Toward Memory Safety for eBPF (Oakland 2025)
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger

Kaihua Qin

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

Christian Rückert

SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Experts and Legal Practitioners (PETS 2022)
Dominic Deuber, Viktoria Ronge, Christian Rückert

René Raab

SoK: Descriptive Statistics Under Local Differential Privacy (PETS 2025)
René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder

Edward Raff

SoK: A Review of Differentially Private Linear Models For High Dimensional Data (SaTML 2024)
Amol Khanna, Edward Raff, Nathan Inkawhich

Mohammad Saidur Rahman

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)
Nate Mathews, James K Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness (Oakland 2026)
Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman

Muhammad Lutfor Rahman

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Muhammad Haris Rais

SoK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities (EuroS&P 2023)
Muhammad Ahsan, Muhammad Haris Rais, Irfan Ahmed

Prabhu Rajasekaran

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Inioluwa Deborah Raji

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Philip Raschke

SoK: After Decades of Web Tracker Detection, What’s Next? (Oakland 2026)
Wolf Rieder, Philip Raschke, Thomas Cory, Christian René Sechting, Aditya Kumar, Axel Küpper

Annanda Rath

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)
Igor Zavalyshyn, Axel Legay, Annanda Rath, Etienne Riviere

Ravishka Rathnasuriya

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Tilman Rauker

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)
Tilman Rauker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell

Indrajit Ray

The Psychology of Security for the Home Computer User (Oakland 2012)
Adele Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, Zinta Byrne

Joel Reardon

SoK: Secure Data Deletion (Oakland 2013)
Joel Reardon, David Basin, Srdjan Capkun

Elissa M. Redmiles

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner

Marek Rei

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) (SaTML 2025)
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Jose Luis Castanon Remy

SoK: Space Infrastructures Vulnerabilities, Attacks and Defenses (Oakland 2025)
Jose Luis Castanon Remy, Ekzhin Ear, Caleb Chang, Antonia Feffer, Shouhuai Xu

Kui Ren

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Wolf Rieder

SoK: After Decades of Web Tracker Detection, What’s Next? (Oakland 2026)
Wolf Rieder, Philip Raschke, Thomas Cory, Christian René Sechting, Aditya Kumar, Axel Küpper

Vera Rimmer

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Thomas Ristenpart

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)
Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart, Thomas Shrimpton

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Etienne Riviere

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)
Igor Zavalyshyn, Axel Legay, Annanda Rath, Etienne Riviere

Mark Roberts

The Psychology of Security for the Home Computer User (Oakland 2012)
Adele Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, Zinta Byrne

Jay Rodolitz

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)
Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan Hutson, Ada Lerner

Franziska Roesner

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner

Thomas Rokicki

SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers (EuroS&P 2021)
Thomas Rokicki, Clémentine Maurice, Pierre Laperdrix

Fabio Roli

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Eyal Ronen

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Viktoria Ronge

SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Experts and Legal Practitioners (PETS 2022)
Dominic Deuber, Viktoria Ronge, Christian Rückert

Christian Rossow

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

Quentin Le Roux

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems (SaTML 2026)
Quentin Le Roux, Yannick Teglia, Teddy Furon, Philippe Loubet Moundi, Eric Bourbao

Aviel D. Rubin

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)
Michael Rushanan, Colleen Swanson, Denis Foo Kune, Aviel D. Rubin

Carlos Rubio-Medrano

SoK: Security of Programmable Logic Controllers (USENIX 2024)
Efrén López-Morales, Ulysse Planta, Carlos Rubio-Medrano, Ali Abbasi, Alvaro A. Cardenas

Laura von Rueden

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Sushmita Ruj

SoK: Trusting Self-Sovereign Identity (PETS 2024)
Evan Krul, Hye-young Paik, Sushmita Ruj, Salil S. Kanhere

Michael Rushanan

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)
Michael Rushanan, Colleen Swanson, Denis Foo Kune, Aviel D. Rubin

Mark Ryan

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)
Rujia Li, Qin Wang, Qi Wang, David Galindo, Mark Ryan

Ahmad-Reza Sadeghi

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)
Frederik Armknecht, Roel Maes, Ahmad-Reza Sadeghi, Francois-Xavier Standaert, Christian Wachsmann

SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities (EuroS&P 2021)
Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)
David Koisser, Richard Mitev, Nikita Yadav, Franziska Vollmer, Ahmad-Reza Sadeghi

Ahmad Reza Sadeghi

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)
Md Sadun Haq, Thien Duc Nguyan, Franziska Volmer, Ali Saman Tosun, Ahmad Reza Sadeghi, Turgay Korkmaz

Sayandeep Saha

SoK: So, You Think You Know All About Secure Randomized Caches? (USENIX 2025)
Anubhav Bhatla, Hari Rohit Bhavsar, Sayandeep Saha, Biswabandan Panda

Merve Sahin

SoK: Fraud in Telephony Networks (EuroS&P 2017)
Merve Sahin, Aurélien Francillon, Payas Gupta, Mustaque Ahamad

Samer Salam

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Hamza Saleem

SoK: Anatomy of Data Breaches (PETS 2020)
Hamza Saleem, Muhammad Naveed

Ahmed Salem

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

Christopher Salls

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Joel Samper

SoK: Self-Generated Nudes over Private Chats: How can Technology Contribute to a Safer Sexting? (Oakland 2025)
Joel Samper, Bernardo Ferreira

Alanson Sample

SoK: (Un)usable Privacy: the Lack of Overlap between Privacy-Aware Sensing and Usable Privacy Research (PETS 2025)
Yasha Iravantchi, Pardis Emami-Naeini, Alanson Sample

Jack Sampson

SoK: Challenges and Paths Toward Memory Safety for eBPF (Oakland 2025)
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger

Nuno Santos

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)
David Cerdeira, Nuno Santos, Pedro Fonseca, Sandro Pinto

Ralf Sasse

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)
Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David Basin, Adrian Perrig

Sajin Sasy

SoK: Metadata-Protecting Communication Systems (PETS 2024)
Sajin Sasy, Ian Goldberg

Nitesh Saxena

SoK: Inaccessible & Insecure: An Exposition of Authentication Challenges Faced by Blind and Visually Impaired Users in State-of-the-Art Academic Proposals (USENIX 2025)
Md Mojibur Rahman Redoy Akanda, Amanda Lacy, Nitesh Saxena

SoK: PHILTER: Uncovering Security and Functional Gaps in AI-based Phishing Website Detection Literature via an LLM-based Reasoning Framework (USENIX 2026)
Mahbub Alam, Muhammad Lutfor Rahman, Sonjoy Kumar Paul, Amy W. Hays, Aftab Hussain, Md Imanul Huq, Nitesh Saxena

Nolen Scaife

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)
Jing Tian, Nolen Scaife, Deepak Kumar, Michael Bailey, Adam Bates, Kevin Butler

Stephan van Schaik

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Tobias Scharnowski

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

Sarah Scheffler

SoK: Content Moderation for End-to-End Encryption (PETS 2023)
Sarah Scheffler, Jonathan Mayer

Philip Scherer

SoK: Provably Secure Onion Routing against a Global Adversary (PETS 2024)
Philip Scherer, Christiane Weis, Thorsten Strufe

Nico Schiller

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

SoK: A Systematic Review of Integration and Reproducibility of Fuzzing Research into AFL++ (EuroS&P 2026)
Nico Schiller, Nils Bars, Moritz Schloegel, Thorsten Holz

Sebastian Schinzel

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors (EuroS&P 2026)
Thomas Biege, Marius Brockhoff, Jonas Kaspereit, Fabian Ising, Lea Gröber, Sebastian Schinzel, Lea Gröber

Moritz Schloegel

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)
Moritz Schloegel, Nils Bars, Nico Schiller, Lukas Bernhard, Tobias Scharnowski, Addison Crump, Arash Ale-Ebrahim, Nicolai Bissantz, Marius Muench, Thorsten Holz

SoK: A Systematic Review of Integration and Reproducibility of Fuzzing Research into AFL++ (EuroS&P 2026)
Nico Schiller, Nils Bars, Moritz Schloegel, Thorsten Holz

Thomas C. Schmidt

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)
Marcin Nawrocki, John Kristoff, Chris Kanich, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch

Thomas Schneider

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)
Ágnes Kiss, Masoud Naderpour, Jian Liu, N. Asokan, Thomas Schneider

SoK: Efficient Privacy-preserving Clustering (PETS 2021)
Aditya Hegde, Helen Möllering, Thomas Schneider, Hossein Yalame

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)
Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli

Johannes Schneider

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection (EuroS&P 2023)
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider

Theodor Schnitzler

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)
Theodor Schnitzler, Shujaat Mirza, Markus Dürmuth, Christina Pöpper

Dominique Schröder

SoK: Descriptive Statistics Under Local Differential Privacy (PETS 2025)
René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder

Saskia Laura Schröer

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Haya Schulmann

SoK: An Introspective Analysis of RPKI Security (USENIX 2025)
Donika Mirdita, Haya Schulmann, Michael Waidner

Edward Schwartz

All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but might have been afraid to ask) (Oakland 2010)
Thanassis Avgerinos, Edward Schwartz, David Brumley

Jörg Schwenk

SoK: Exploiting Network Printers (Oakland 2017)
Jens Müller, Vladislav Mladenov, Juraj Somorovsky, Jörg Schwenk

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)
Christian Mainka, Vladislav Mladenov, Jörg Schwenk, Tobias Wich

Christian René Sechting

SoK: After Decades of Web Tracker Detection, What’s Next? (Oakland 2026)
Wolf Rieder, Philip Raschke, Thomas Cory, Christian René Sechting, Aditya Kumar, Axel Küpper

Ali Aydin Selcuk

SoK: Cryptojacking Malware (EuroS&P 2021)
Ege Tekiner, Abbas Acar, A. Selcuk Uluagac, Engin Kirda, Ali Aydin Selcuk

Shayak Sen

SoK: Differential Privacy as a Causal Property (Oakland 2020)
Michael C. Tschantz, Shayak Sen, Anupam Datta

Jan Seredynski

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Alex Seto

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Asaf Shabtai

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)
Ben Nassi, Ron Bitton, Ryusuke Masuoka, Asaf Shabtai, Yuval Elovici

SoK: Cybersecurity Assessment of Humanoid Ecosystem (EuroS&P 2026)
Priyanka Surve, Asaf Shabtai, Yuval Elovici

Arash Shaghaghi

SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers (Oakland 2025)
Nimesha Wickramasinghe, Arash Shaghaghi, Gene Tsudik, Sanjay Jha

Vatsal Shah

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Shawn Shan

SoK: Anti-Facial Recognition Technology (Oakland 2023)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao

Richard Shay

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Emily Shen

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Judy Hanwen Shen

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

Ashley Shen

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Qingni Shen

SoK: Understanding zk-SNARKs: The Gap Between Research and Practice (USENIX 2025)
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, Zhonghai Wu

Faysal Hossain Shezan

SoK: Towards Effective Automated Vulnerability Repair (USENIX 2025)
Ying Li, Faysal Hossain Shezan, Bomin Wei, Gang Wang, Yuan Tian

Igor Shilov

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) (SaTML 2025)
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Hocheol Shin

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)
Chen Yan, Hocheol Shin, Connor Bolton, Wenyuan Xu, Yongdae Kim, Kevin Fu

Yan Shoshitaishvili

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Thomas Shrimpton

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)
Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart, Thomas Shrimpton

Kedie Shu

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Sabeeka Siddiqui

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

Mohit Singhal

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Arunesh Sinha

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, Michael P. Wellman

Radu Sion

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)
Bhushan Jain, Mirza Basim Baig, Dongli Zhang, Donald E. Porter, Radu Sion

SoK: Plausibly Deniable Storage (PETS 2022)
Chen Chen, Xiao Liang, Bogdan Carbunar, Radu Sion

Manya Sleeper

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

Matthew Smith

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)
Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick McDaniel, Matthew Smith

Ravital Solomon

SoK: Privacy-Preserving Computing in the Blockchain Era (EuroS&P 2022)
Ghada Almashaqbeh, Ravital Solomon

Robin Sommer

Outside the Closed World: On Using Machine Learning For Network Intrusion Detection (Oakland 2010)
Robin Sommer, Vern Paxson

Juraj Somorovsky

SoK: Exploiting Network Printers (Oakland 2017)
Jens Müller, Vladislav Mladenov, Juraj Somorovsky, Jörg Schwenk

Dawn Song

SoK: Eternal War in Memory (Oakland 2013)
Laszlo Szekeres, Mathias Payer, Tao Wei, Dawn Song

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

SoK: Data Privacy in Virtual Reality (PETS 2024)
Gonzalo Munilla Garrido, Vivek Nair, Dawn Song

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

SoK: Attack and Defense Landscape of Agentic AI Systems (USENIX 2026)
Juhee Kim, Wenbo Guo, Dawn Song

Dokyung Song

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Zihe Song

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Qianqian Song

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Lucrezia Spagnolo

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)
Borke Obada-Obieh, Yue Huang, Lucrezia Spagnolo, Konstantin

Steven Sprecher

SoK: All or Nothing - A Postmortem of Solutions to the Third-Party Script Inclusion Permission Model and a Path Forward (EuroS&P 2022)
Steven Sprecher, Christoph Kerschbaumer, Engin Kirda

Christoph Sprenger

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)
Laurent Chuat, AbdelRahman Abdou, Ralf Sasse, Christoph Sprenger, David Basin, Adrian Perrig

Robin Staab

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Aleksei Stafeev

SoK: State of the Krawlers - Evaluating the Effectiveness of Crawling Algorithms for Web Security Measurements (USENIX 2024)
Aleksei Stafeev, Giancarlo Pellegrino

Frank Stajano

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)
Joseph Bonneau, Cormac Herley, Paul C. van Oorschot, Frank Stajano

Francois-Xavier Standaert

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)
Frederik Armknecht, Roel Maes, Ahmad-Reza Sadeghi, Francois-Xavier Standaert, Christian Wachsmann

Emily Stark

SoK: SCT Auditing in Certificate Transparency (PETS 2022)
Sarah Meiklejohn, Joe DeBlasio, Devon O’Brien, Chris Thompson, Kevin Yeo, Emily Stark

Ryan Steed

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Maarten van Steen

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)
Christian Rossow, Christian J. Dietrich, Chris Grier, Christian Kreibich, Vern Paxson, Norbert Pohlmann, Herbert Bos, Maarten van Steen

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Deian Stefan

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)
Sunjay Cauligi, Craig Disselkoen, Daniel Moghimi, Gilles Barthe, Deian Stefan

Magdalena Steinböck

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Sebastian Steinhorst

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

Brad Stenger

SoK: Usability Studies in Differential Privacy (PETS 2025)
Onyinye Dibia, Prianka Bhattacharjee, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline Ngong, Yuanyuan Feng, Joseph P. Near

Per Stenström

SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations (EuroS&P 2023)
Nadja Ramhöj Holtryd, Madhavan Manivannan, Per Stenström

Nick Stephens

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Sophie Stephenson

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)
Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Brett Stone-Gross

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

Gianluca Stringhini

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Thorsten Strufe

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)
Àlex Miranda-Pascual, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe

SoK: Provably Secure Onion Routing against a Global Adversary (PETS 2024)
Philip Scherer, Christiane Weis, Thorsten Strufe

SoK: Multi-Perspective-Video-Anonymization (PETS 2026)
Islam Amar, Omar Moured, Simon Hanisch, Thorsten Strufe

Zhou Su

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Karthika Subramani

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci

Ruimin Sun

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)
Ruimin Sun, Alejandro Mera, Long Lu, David Choffnes

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)
Tushar Nayan, Qiming Guo, Mohammed Al Duniawi, Marcus Botacin, Selcuk Uluagac, Ruimin Sun

Wei Sun

SoK: Secure Human-centered Wireless Sensing (PETS 2024)
Wei Sun, Tingjun Chen, Neil Gong

Peng Sun

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Shi-Feng Sun

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Rui Sun

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Jiahao Sun

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Ali Sunyaev

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Anshuman Suri

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

Priyanka Surve

SoK: Cybersecurity Assessment of Humanoid Ecosystem (EuroS&P 2026)
Priyanka Surve, Asaf Shabtai, Yuval Elovici

Fnu Suya

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

Colleen Swanson

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)
Michael Rushanan, Colleen Swanson, Denis Foo Kune, Aviel D. Rubin

Laszlo Szekeres

SoK: Eternal War in Memory (Oakland 2013)
Laszlo Szekeres, Mathias Payer, Tao Wei, Dawn Song

Sebastian Szyller

SoK: Unintended Interactions among Machine Learning Defenses and Risks (Oakland 2024)
Vasisht Duddu, Sebastian Szyller, N. Asokan

Hanxiao Tan

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Gang Tan

SoK: Challenges and Paths Toward Memory Safety for eBPF (Oakland 2025)
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger

Shahroz Tariq

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework (EuroS&P 2025)
Minh Binh Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, Shahroz Tariq

Aliya Tastemirova

SoK: The Impact of Unlabelled Data in Cyberthreat Detection (EuroS&P 2022)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova

Yannick Teglia

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems (SaTML 2026)
Quentin Le Roux, Yannick Teglia, Teddy Furon, Philippe Loubet Moundi, Eric Bourbao

Mark Tehranipoor

SoK: A Security Architect’s View of Printed Circuit Board Attacks (USENIX 2025)
Jacob Harrison, Nathan Jessurun, Mark Tehranipoor

Ege Tekiner

SoK: Cryptojacking Malware (EuroS&P 2021)
Ege Tekiner, Abbas Acar, A. Selcuk Uluagac, Engin Kirda, Ali Aydin Selcuk

Ali Teymourian

SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework (USENIX 2025)
Ali Teymourian, Andrew M. Webb, Taha Gharaibeh, Arushi Ghildiyal, Ibrahim Baggili

David Theodore

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)
Stefanos Chaliasos, Jens Ernstberger, David Theodore, David Wong, Mohammad Jahanara, Benjamin Livshits

Kurt Thomas

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)
Kurt Thomas, Devdatta Akhawe, Michael Bailey, Dan Boneh, Elie Bursztein, Sunny Consolvo, Nicola Dell, Zakir Durumeric, Patrick Gage Kelley, Deepak Kumar, Damon McCoy, Sarah Meiklejohn, Thomas Ristenpart, Gianluca Stringhini

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

Chris Thompson

SoK: SCT Auditing in Certificate Transparency (PETS 2022)
Sarah Meiklejohn, Joe DeBlasio, Devon O’Brien, Chris Thompson, Kevin Yeo, Emily Stark

Poojitha Thota

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh

Jing Tian

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)
Jing Tian, Nolen Scaife, Deepak Kumar, Michael Bailey, Adam Bates, Kevin Butler

Yuan Tian

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

SoK: Towards Effective Automated Vulnerability Repair (USENIX 2025)
Ying Li, Faysal Hossain Shezan, Bomin Wei, Gang Wang, Yuan Tian

Dave Tian

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)
Jianliang Wu, Ruoyu Wu, Dongyan Xu, Dave Tian, Antonio Bianchi

Vanessa Toborek

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Shruti Tople

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

Santiago Torres-Arias

SoK: A Defense-Oriented Evaluation of Software Supply Chain Security (EuroS&P 2026)
Eman Abu Ishgair, Juanita Gomez, Marcela S. Melara, Alvaro Cardenas, Santiago Torres-Arias

Ali Saman Tosun

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)
Md Sadun Haq, Thien Duc Nguyan, Franziska Volmer, Ali Saman Tosun, Ahmad Reza Sadeghi, Turgay Korkmaz

Florian Tramer

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Mindy Tran

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

Patrick Traynor

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)
Seth Layton, Tyler Tucker, Daniel Olszewski, Kevin Warren, Kevin Butler, Patrick Traynor

SoK: Towards a Unified Approach to Applied Replicability for Computer Security (USENIX 2025)
Daniel Olszewski, Tyler Tucker, Kevin Butler, Patrick Traynor

Amos Treiber

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)
Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli

Carmela Troncoso

OB-PWS: Obfuscation-Based Private Web Search (Oakland 2012)
Ero Balsa, Carmela Troncoso, Claudia Diaz

Juan Ramón Troncoso-Pastoriza

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)
Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Jens Troost

SoK: Hardening Techniques in the Mobile Ecosystem - Are We There Yet? (EuroS&P 2025)
Magdalena Steinböck, Jens Troost, Wilco van Beijnum, Jan Seredynski, Herbert Bos, Martina Lindorfer, Andrea Continella

Tomasz Truderung

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)
Véronique Cortier, David Galindo, Ralf Kuesters, Johannes Mueller, Tomasz Truderung

Michael C. Tschantz

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)
Michael C. Tschantz, Sadia Afroz, Anonymous, Vern Paxson

SoK: Differential Privacy as a Causal Property (Oakland 2020)
Michael C. Tschantz, Shayak Sen, Anupam Datta

Emily Tseng

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Gene Tsudik

SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers (Oakland 2025)
Nimesha Wickramasinghe, Arash Shaghaghi, Gene Tsudik, Sanjay Jha

Huahong Tu

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)
Huahong Tu, Adam Doupé, Ziming Zhao, Gail-Joon Ahn

Tyler Tucker

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)
Seth Layton, Tyler Tucker, Daniel Olszewski, Kevin Warren, Kevin Butler, Patrick Traynor

SoK: Towards a Unified Approach to Applied Replicability for Computer Security (USENIX 2025)
Daniel Olszewski, Tyler Tucker, Kevin Butler, Patrick Traynor

Kieron Ivy Turk

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

Sebastian Uellenbeck

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)
Michael Becher, Felix C. Freiling, Johannes Hoffmann, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf

Xabier Ugarte-Pedrero

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)
Xabier Ugarte-Pedrero, Davide Balzarotti, Igor Santos Grueiro, Pablo Garcia Bringas

A. Selcuk Uluagac

SoK: Cryptojacking Malware (EuroS&P 2021)
Ege Tekiner, Abbas Acar, A. Selcuk Uluagac, Engin Kirda, Ali Aydin Selcuk

Selcuk Uluagac

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)
Tushar Nayan, Qiming Guo, Mohammed Al Duniawi, Marcus Botacin, Selcuk Uluagac, Ruimin Sun

Nik Unger

SoK: Secure Messaging (Oakland 2015)
Nik Unger, Sergej Dechand, Joseph Bonneau, Sascha Fahl, Henning Perl, Ian Goldberg, Matthew Smith

Blase Ur

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

Malgorzata Urbanska

The Psychology of Security for the Home Computer User (Oakland 2012)
Adele Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, Zinta Byrne

Warda Usman

SoK: A Framework and Guide for Human-Centered Threat Modeling in Security and Privacy Research (Oakland 2025)
Warda Usman, Daniel Zappala

Mayank Varia

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Andre Vasconcelos

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)
Andre Augusto, Rafael Belchior, Miguel Nuno Dias Alves Pupo Correia, Andre Vasconcelos, Luyao Zhang, Thomas Hardjono

Marie Vasek

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek

Briana Vecchione

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Martin Vechev

SoK: Data Minimization in Machine Learning (SaTML 2026)
Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski

Mario Vento

SoK: Gradient Inversion Attacks in Federated Learning (USENIX 2025)
Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento

Mathew Vermeer

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Sicco Verwer

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Alexander Viand

SoK: An Overview of FHE Compilers and Tools (Oakland 2021)
Alexander Viand, Patrick Jattke, Anwar Hithnawi

Giovanni Vigna

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Stijn Volckaert

SoK: Sanitizing for Security (Oakland 2019)
Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz

Franziska Vollmer

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)
David Koisser, Richard Mitev, Nikita Yadav, Franziska Vollmer, Ahmad-Reza Sadeghi

Franziska Volmer

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)
Md Sadun Haq, Thien Duc Nguyan, Franziska Volmer, Ali Saman Tosun, Ahmad Reza Sadeghi, Turgay Korkmaz

Daniël Vos

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

Jelle Vos

SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model (Oakland 2024)
Jelle Vos, Mauro Conti, Zekeriya Erkin

Matthias Wählisch

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)
Marcin Nawrocki, John Kristoff, Chris Kanich, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch

Christian Wachsmann

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)
Frederik Armknecht, Roel Maes, Ahmad-Reza Sadeghi, Francois-Xavier Standaert, Christian Wachsmann

Tim Wadhwa-Brown

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Isabel Wagner

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

Michael Waidner

SoK: An Introspective Analysis of RPKI Security (USENIX 2025)
Donika Mirdita, Haya Schulmann, Michael Waidner

Ruoyu Wang

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls, Nick Stephens, Mario Polino, Andrew Dutcher, John Grosen, Siji Feng, Christophe Hauser, Christopher Kruegel, Giovanni Vigna

Shuai Wang

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)
Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao

SoK: Evaluating Jailbreak Guardrails for Large Language Models (Oakland 2026)
Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

Zhipeng Wang

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: Public Randomness (EuroS&P 2024)
Alireza Kavousi, Zhipeng Wang, Philipp Jovanovic

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Ye Wang

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

Qin Wang

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)
Rujia Li, Qin Wang, Qi Wang, David Galindo, Mark Ryan

Qi Wang

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)
Rujia Li, Qin Wang, Qi Wang, David Galindo, Mark Ryan

Shuo Wang

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)
Erik Buchholz, Sharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Gang Wang

SoK: On the Offensive Potential of AI (SaTML 2025)
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W.N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang

SoK: Towards Effective Automated Vulnerability Repair (USENIX 2025)
Ying Li, Faysal Hossain Shezan, Bomin Wei, Gang Wang, Yuan Tian

Zhibo Wang

SoK: On Gradient Leakage in Federated Learning (USENIX 2025)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen

Yu-Xiang Wang

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Dongjie Wang

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Liqiang Wang

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Chenxu Wang

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Kai Wang

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

Peiwang Wang

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

Xunguang Wang

SoK: Evaluating Jailbreak Guardrails for Large Language Models (Oakland 2026)
Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

Wenxuan Wang

SoK: Evaluating Jailbreak Guardrails for Large Language Models (Oakland 2026)
Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

Noel Warford

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Bogdan Warinschi

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)
David Bernhard, Véronique Cortier, David Galindo, Olivier Pereira, Bogdan Warinschi

Kevin Warren

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)
Seth Layton, Tyler Tucker, Daniel Olszewski, Kevin Warren, Kevin Butler, Patrick Traynor

Roger Wattenhofer

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

Andrew M. Webb

SoK: Come Together - Unifying Security, Information Theory, and Cognition for a Mixed Reality Deception Attack Ontology & Analysis Framework (USENIX 2025)
Ali Teymourian, Andrew M. Webb, Taha Gharaibeh, Arushi Ghildiyal, Ibrahim Baggili

Benjamin Weggenmann

SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy (SaTML 2026)
Francesco Capano, Jonas Boehler, Benjamin Weggenmann

Tao Wei

SoK: Eternal War in Memory (Oakland 2013)
Laszlo Szekeres, Mathias Payer, Tao Wei, Dawn Song

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Miranda Wei

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner

Bomin Wei

SoK: Towards Effective Automated Vulnerability Repair (USENIX 2025)
Ying Li, Faysal Hossain Shezan, Bomin Wei, Gang Wang, Yuan Tian

Christiane Weis

SoK: Provably Secure Onion Routing against a Global Adversary (PETS 2024)
Philip Scherer, Christiane Weis, Thorsten Strufe

Pascal Welke

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden

Michael P. Wellman

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, Michael P. Wellman

Rui Wen

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark (USENIX 2025)
Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang

Emily Wenger

SoK: Anti-Facial Recognition Technology (Oakland 2023)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao

Tillmann Werner

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)
Christian Rossow, Dennis Andriesse, Tillmann Werner, Brett Stone-Gross, Daniel Plohmann, Christian J. Dietrich, Herbert Bos

Jan Werner

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)
Sanjeev Das, Jan Werner, Manos Antonakakis, Michalis Polychronakis, Fabian Monrose

Jonathan West

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)
Mathew Vermeer, Jonathan West, Alejandro Cuevas, Shuonan Niu, Nicolas Christin, Michel van Eeten, Tobias Fiebig, Carlos Gañán, Tyler Moore

Maximilian Westers

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)
Louis Jannett, Maximilian Westers, Tobias Wich, Christian Mainka, Andreas Mayer, Vladislav Mladenov

Tobias Wich

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)
Christian Mainka, Vladislav Mladenov, Jörg Schwenk, Tobias Wich

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)
Louis Jannett, Maximilian Westers, Tobias Wich, Christian Mainka, Andreas Mayer, Vladislav Mladenov

Nimesha Wickramasinghe

SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers (Oakland 2025)
Nimesha Wickramasinghe, Arash Shaghaghi, Gene Tsudik, Sanjay Jha

Ben Wiedermann

Timing- and Termination-Sensitive Secure Information Flow: Exploring a New Approach (Oakland 2011)
Vineeth Kashyap, Ben Wiedermann, Ben Hardekopf

Caleb Winston

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

Jill Palzkill Woelfer

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)
Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart

Christopher Wolf

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)
Michael Becher, Felix C. Freiling, Johannes Hoffmann, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf

David Wong

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)
Stefanos Chaliasos, Jens Ernstberger, David Theodore, David Wong, Mohammad Jahanara, Benjamin Livshits

Simon S. Woo

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework (EuroS&P 2025)
Minh Binh Le, Jiwon Kim, Simon S. Woo, Kristen Moore, Alsharif Abuadbba, Shahroz Tariq

Daniel W. Woods

SoK: Quantifying Cyber Risk (Oakland 2021)
Daniel W. Woods, Rainer Böhme

Theodora Worledge

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

Michael Wrana

SoK: The Spectre of Surveillance and Censorship in Future Internet Architectures (PETS 2025)
Michael Wrana, Diogo Barradas, N. Asokan

Christian Wressnegger

SoK: Explainable Machine Learning in Adversarial Environments (Oakland 2024)
Maximilian Noppel, Christian Wressnegger

Matthew Wright

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)
Nate Mathews, James K Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Yuxi Wu

SoK: Social Cybersecurity (Oakland 2022)
Yuxi Wu, W. Keith Edwards, Sauvik Das

Fan Wu

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Jianliang Wu

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)
Jianliang Wu, Ruoyu Wu, Dongyan Xu, Dave Tian, Antonio Bianchi

Ruoyu Wu

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)
Jianliang Wu, Ruoyu Wu, Dongyan Xu, Dave Tian, Antonio Bianchi

Pengfei Wu

SoK: Understanding zk-SNARKs: The Gap Between Research and Practice (USENIX 2025)
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, Zhonghai Wu

Zhonghai Wu

SoK: Understanding zk-SNARKs: The Gap Between Research and Practice (USENIX 2025)
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, Zhonghai Wu

Hongyi Wu

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Daoyuan Wu

SoK: Evaluating Jailbreak Guardrails for Large Language Models (Oakland 2026)
Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

Madelyne Xiao

SoK: Machine Learning for Misinformation Detection (USENIX 2025)
Madelyne Xiao, Jonathan Mayer

Shilin Xiao

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

Tao Xie

SoK: Certified Robustness for Deep Neural Networks (Oakland 2023)
Linyi Li, Tao Xie, Bo Li

Jiafeng Xie

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Xin Xin

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Xihan Xiong

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: Blockchain-Based Decentralized AI (DeAI) (SaTML 2026)
Elizabeth Lui, Rui Sun, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt, Zhipeng Wang

Wenyuan Xu

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)
Chen Yan, Hocheol Shin, Connor Bolton, Wenyuan Xu, Yongdae Kim, Kevin Fu

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Jun Xu

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Yuan Xu

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)
Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Dongyan Xu

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)
Jianliang Wu, Ruoyu Wu, Dongyan Xu, Dave Tian, Antonio Bianchi

Shouhuai Xu

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

SoK: Space Infrastructures Vulnerabilities, Attacks and Defenses (Oakland 2025)
Jose Luis Castanon Remy, Ekzhin Ear, Caleb Chang, Antonia Feffer, Shouhuai Xu

Zexin Xu

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Feiyue Xu

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Jiaqi Xue

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Nikita Yadav

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)
David Koisser, Richard Mitev, Nikita Yadav, Franziska Vollmer, Ahmad-Reza Sadeghi

Hossein Yalame

SoK: Efficient Privacy-preserving Clustering (PETS 2021)
Aditya Hegde, Helen Möllering, Thomas Schneider, Hossein Yalame

Chen Yan

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)
Chen Yan, Hocheol Shin, Connor Bolton, Wenyuan Xu, Yongdae Kim, Kevin Fu

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Shoumeng Yan

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Kaitlyn Yang

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)
Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas

Yunbo Yang

SoK: Understanding zk-SNARKs: The Gap Between Research and Practice (USENIX 2025)
Junkai Liang, Daqi Hu, Pengfei Wu, Yunbo Yang, Qingni Shen, Zhonghai Wu

Wei Yang

SoK: Efficiency & Robustness of Dynamic Deep Learning Systems (USENIX 2025)
Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Kai Yao

SoK: What Makes Private Learning Unfair? (SaTML 2025)
Kai Yao, Marc Juarez

Yuval Yarom

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Kevin Yeo

SoK: SCT Auditing in Certificate Transparency (PETS 2022)
Sarah Meiklejohn, Joe DeBlasio, Devon O’Brien, Chris Thompson, Kevin Yeo, Emily Stark

Arkady Yerukhimovich

SoK: Cryptographically Protected Database Search (Oakland 2017)
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich, Emily Shen, Ariel Hamlin, Vijay Gadepally, Richard Shay, John Darby Mitchell, Robert K. Cunningham

Michael Yonli

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)
Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli

Ruotong Yu

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)
Chengbin Pang, Ruotong Yu, Yaohui Chen, Eric Koskinen, Georgios Portokalidis, Bing Mao, Jun Xu

Yuanyuan Yuan

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)
Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao

Bin Yuan

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Timur Yunusov

SoK: Security of EMV Contactless Payment Systems (EuroS&P 2025)
Mahshid Mehr Nezhad, Feng Hao, Gregory Epiphaniou, Carsten Maple, Timur Yunusov

Thomas Yurek

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)
Stephan van Schaik, Alex Seto, Thomas Yurek, Adam Batori, Bader AlBassam, Daniel Genkin, Andrew Miller, Eyal Ronen, Yuval Yarom, Christina Garman

Santiago Zanella-Beguelin

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Beguelin

Stefano Zanero

SoK: Automated TTP Extraction from CTI Reports - Are We There Yet? (USENIX 2025)
Marvin Büchel, Carl von Ossietzky, Tommaso Paladini, Stefano Longari, Michele Carminati, Stefano Zanero, Hodaya Binyamini, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Marco Caselli, Andrea Continella, Maarten van Steen, Andreas Peter, Carl von Ossietzky, Thijs van Ede

Daniel Zappala

SoK: A Framework and Guide for Human-Centered Threat Modeling in Security and Privacy Research (Oakland 2025)
Warda Usman, Daniel Zappala

Igor Zavalyshyn

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)
Igor Zavalyshyn, Axel Legay, Annanda Rath, Etienne Riviere

Steve Zdancewic

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)
Marcella Hastings, Brett Hemenway, Daniel Noble, Steve Zdancewic

Shaza Zeitouni

SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities (EuroS&P 2021)
Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi

Dongli Zhang

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)
Bhushan Jain, Mirza Basim Baig, Dongli Zhang, Donald E. Porter, Radu Sion

Xinping Zhang

SoK: Shining Light on Shadow Stacks (Oakland 2019)
Nathan Burow, Xinping Zhang, Mathias Payer

Tianwei Zhang

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)
Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Tingwei Zhang

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)
Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans

Luyao Zhang

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)
Andre Augusto, Rafael Belchior, Miguel Nuno Dias Alves Pupo Correia, Andre Vasconcelos, Luyao Zhang, Thomas Hardjono

Chusong Zhang

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Zhikun Zhang

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Claire Jie Zhang

SoK: Fair Clustering: Critique, Caveats, and Future Directions (SaTML 2025)
John Dickerson, Seyed Esmaeili, Jamie Morgenstern, Claire Jie Zhang

Yunbei Zhang

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation (USENIX 2025)
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm

Yang Zhang

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark (USENIX 2025)
Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang

Wei Zhang

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Yuqun Zhang

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Fengwei Zhang

SoK: Analysis of Accelerator TEE Designs (NDSS 2026)
Chenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng, Yuqun Zhang, Fengwei Zhang, Jiannong Cao, Hang Lu, Rui Hou, Shoumeng Yan, Tao Wei, Zhengyu He

Youqian Zhang

SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference Attacks (USENIX 2026)
Qinhong Jiang, Yan Long, Youqian Zhang, Chen Yan, Xiaoyu Ji, Xiapu Luo, Kevin Fu, Jiannong Cao, Wenyuan Xu

Ziming Zhao

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)
Huahong Tu, Adam Doupé, Ziming Zhao, Gail-Joon Ahn

Valerie Zhao

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)
Weijia He, Valerie Zhao, Olivia Morkved, Sabeeka Siddiqui, Earlence Fernandes, Josiah Hester, Blase Ur

Yuhang Zhao

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)
Sophie Stephenson, Bijeeta Pal, Stephen Fan, Earlence Fernandes, Yuhang Zhao, Rahul Chatterjee

Ben Y. Zhao

SoK: Anti-Facial Recognition Technology (Oakland 2023)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao

Xuandong Zhao

SoK: Watermarking for AI-Generated Content (Oakland 2025)
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song

Yubo Zhao

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Haitao Zheng

SoK: Anti-Facial Recognition Technology (Oakland 2023)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao

Mengxin Zheng

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Yajin Zhou

Dissecting Android Malware: Characterization and Evolution (Oakland 2012)
Yajin Zhou, Xuxian Jiang

Liyi Zhou

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)
Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais

SoK: Data Sovereignty (EuroS&P 2023)
Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song

Xuanru Zhou

SoK: Dataset Copyright Auditing in Machine Learning Systems (Oakland 2025)
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang

Minxuan Zhou

SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis (PETS 2026)
Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

Zhengyan Zhou

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Haiyi Zhu

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari

Wenjun Zhu

SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities (NDSS 2026)
Shilin Xiao, Wenjun Zhu, Yan Jiang, Kai Wang, Peiwang Wang, Chen Yan, Xiaoyu Ji, Wenyuan Xu

Bin Benjamin Zhu

SoK: Robustness in Large Language Models against Jailbreak Attacks (Oakland 2026)
Feiyue Xu, Hongsheng Hu, Chaoxiang He, Sheng Hang, Hanqing Hu, Xiuming Liu, Yubo Zhao, Zhengyan Zhou, Bin Benjamin Zhu, Shi-Feng Sun, Dawu Gu, Shuo Wang

Maximilian Zinkus

SoK: Cryptographic Confidentiality of Data on Mobile Devices (PETS 2022)
Maximilian Zinkus, Tushar M. Jois, Matthew Green

Andrew Zitek-Estrada

SoK: Cryptographic Authenticated Dictionaries (NDSS 2026)
Harjasleen Malvai, Francesca Falzon, Andrew Zitek-Estrada, Sarah Meiklejohn, Joseph Bonneau

Deqing Zou

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments (USENIX 2025)
Yiwei Hu, Zhen Li, Kedie Shu, Shenghua Guan, Deqing Zou, Shouhuai Xu, Bin Yuan, Hai Jin

Yixin Zou

SoK: A Privacy Framework for Security Research Using Social Media Data (Oakland 2025)
Kyle Beadle, Kieron Ivy Turk, Aliai Eusebi, Mindy Tran, Marilyne Ordekian, Enrico Mariconti, Yixin Zou, Marie Vasek