SoK Authors

Melek Önen

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)

Ali Abbasi

SoK: Security of Programmable Logic Controllers (USENIX 2024)

AbdelRahman Abdou

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)

Hadi Abdullah

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)

Sharif Abuadbba

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)

Yasemin Acar

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)

Abbas Acar

SoK: Cryptojacking Malware (EuroS&P 2021)

Sadia Afroz

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)

Mustaque Ahamad

SoK: Fraud in Telephony Networks (EuroS&P 2017)

Irfan Ahmed

SoK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities (EuroS&P 2023)

Gail-Joon Ahn

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)

Muhammad Ahsan

SoK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities (EuroS&P 2023)

Omer Akgul

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

Devdatta Akhawe

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Bader AlBassam

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Arash Ale-Ebrahim

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Ghada Almashaqbeh

SoK: Privacy-Preserving Computing in the Blockchain Era (EuroS&P 2022)

Omar Alrawi

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)

Lorenzo Alvisi

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)

Dennis Andriesse

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)

Anonymous

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)

Manos Antonakakis

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)

Giovanni Apruzzese

SoK: The Impact of Unlabelled Data in Cyberthreat Detection (EuroS&P 2022)

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection (EuroS&P 2023)

Frederik Armknecht

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)

N. Asokan

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)

SoK: Unintended Interactions among Machine Learning Defenses and Risks (Oakland 2024)

Andre Augusto

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)

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)

Rainer Böhme

SoK: Quantifying Cyber Risk (Oakland 2021)

Michael Backes

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)

Mirza Basim Baig

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)

Michael Bailey

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Ero Balsa

OB-PWS: Obfuscation-Based Private Web Search (Oakland 2012)

Davide Balzarotti

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)

SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap (Oakland 2020)

Yuyan Bao

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)

Olivier Barais

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)

Manuel Barbosa

SoK: Computer-Aided Cryptography (Oakland 2021)

Nils Bars

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Gilles Barthe

SoK: Computer-Aided Cryptography (Oakland 2021)

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)

David Basin

SoK: Secure Data Deletion (Oakland 2013)

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)

Adam Bates

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Lejla Batina

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)

Adam Batori

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Jason Bau

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)

Robert Baumgartner

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Michael Becher

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)

Katharina Beckh

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Rafael Belchior

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)

Rosanna Bellini

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Alastair R. Beresford

SoK: Managing risks of linkage attacks on data privacy (PETS 2023)

David Bernhard

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)

Lukas Bernhard

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Steven Bethard

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)

Karthik Bhargavan

SoK: Computer-Aided Cryptography (Oakland 2021)

Antonio Bianchi

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)

Leyla Bilge

SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap (Oakland 2020)

Vincent Bindschaedler

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)

Abeba Birhane

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)

Eleanor Birrell

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Nicolai Bissantz

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Ron Bitton

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)

Bruno Blanchet

SoK: Computer-Aided Cryptography (Oakland 2021)

Connor Bolton

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)

Dan Boneh

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Joseph Bonneau

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)

SoK: Secure Messaging (Oakland 2015)

SoK: Distributed Randomness Beacons (Oakland 2023)

Herbert Bos

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)

Marcus Botacin

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)

Pablo Garcia Bringas

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)

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)

Stefan Brunthaler

SoK: Automated Software Diversity (Oakland 2014)

Erik Buchholz

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)

Mindaugas Budzys

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)

Sven Bugiel

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)

Nathan Burow

SoK: Shining Light on Shadow Stacks (Oakland 2019)

Elie Bursztein

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Kevin Butler

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)

Zinta Byrne

The Psychology of Security for the Home Computer User (Oakland 2012)

José Cabrero-Holgueras

SoK: Privacy-Preserving Computation Techniques for Deep Learning (PETS 2021)

Ran Canetti

SoK: Data Sovereignty (EuroS&P 2023)

Clinton Cao

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Srdjan Capkun

SoK: Secure Data Deletion (Oakland 2013)

Bogdan Carbunar

SoK: Plausibly Deniable Storage (PETS 2022)

Alvaro A. Cardenas

SoK: Security of Programmable Logic Controllers (USENIX 2024)

Sílvia Casacuberta

SoK: Oblivious Pseudorandom Functions (EuroS&P 2022)

Stephen Casper

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)

Sunjay Cauligi

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)

David Cerdeira

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)

Stefanos Chaliasos

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)

Sylvain Chatel

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)

Rahul Chatterjee

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)

Yaohui Chen

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Yinfang Chen

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Chen Chen

SoK: Plausibly Deniable Storage (PETS 2022)

Tingjun Chen

SoK: Secure Human-centered Wireless Sensing (PETS 2024)

Giovanni Cherubin

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

David Choffnes

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)

Kevin Choi

SoK: Distributed Randomness Beacons (Oakland 2023)

Sherman S. M. Chow

SoK: Cryptographic Neural-Network Computation (Oakland 2023)

Nicolas Christin

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Laurent Chuat

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)

Jeremy Clark

SoK: SSL and HTTPS: Revisiting Past Challenges and Evaluating Certificate Trust Model Enhancements (Oakland 2013)

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)

Allen Clement

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)

Sunny Consolvo

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Mauro Conti

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)

SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model (Oakland 2024)

Miguel Nuno Dias Alves Pupo Correia

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)

Véronique Cortier

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)

Amanda Coston

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)

Scott E. Coull

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)

Cas Cremers

SoK: Computer-Aided Cryptography (Oakland 2021)

Addison Crump

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Alejandro Cuevas

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Robert K. Cunningham

SoK: Cryptographically Protected Database Search (Oakland 2017)

Dana Cuomo

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Markus Dürmuth

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)

Alaa Daffalla

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Savino Dambra

SoK: Cyber Insurance - Technical Challenges and a System Security Roadmap (Oakland 2020)

Sanjeev Das

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)

Sauvik Das

SoK: Social Cybersecurity (Oakland 2022)

Anupam Datta

SoK: Differential Privacy as a Causal Property (Oakland 2020)

Joe DeBlasio

SoK: SCT Auditing in Certificate Transparency (PETS 2022)

Sergej Dechand

SoK: Secure Messaging (Oakland 2015)

Jean Paul Degabriele

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)

Nicola Dell

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Gelei Deng

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)

Damien Desfontaines

SoK: Differential privacies (PETS 2020)

Ghada Dessouky

SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities (EuroS&P 2021)

Dominic Deuber

SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Experts and Legal Practitioners (PETS 2022)

Claudia Diaz

OB-PWS: Obfuscation-Based Private Web Search (Oakland 2012)

Simon Dieck

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Christian J. Dietrich

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

Bolin Ding

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Angel Ding

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Craig Disselkoen

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)

Adam Doupé

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)

Vasisht Duddu

SoK: Unintended Interactions among Machine Learning Defenses and Risks (Oakland 2024)

Mohammed Al Duniawi

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)

Zakir Durumeric

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Andrew Dutcher

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Kevin P. Dyer

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)

W. Keith Edwards

SoK: Social Cybersecurity (Oakland 2022)

Michel van Eeten

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Yael Eiger

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)

Yuval Elovici

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)

Fatima Elsheimy

SoK: Data Sovereignty (EuroS&P 2023)

Alessandro Epasto

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)

Zekeriya Erkin

SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model (Oakland 2024)

Jens Ernstberger

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

SoK: Data Sovereignty (EuroS&P 2023)

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)

David Evans

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)

Céline Fabry

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)

Sascha Fahl

SoK: Secure Messaging (Oakland 2015)

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)

Stephen Fan

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)

Edward W. Felten

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)

Siji Feng

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Earlence Fernandes

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)

Tobias Fiebig

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Raphael Fischer

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Pedro Fonseca

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)

Jordi Forné

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)

David Forsyth

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Aurélien Francillon

SoK: Fraud in Telephony Networks (EuroS&P 2017)

Michael Franz

SoK: Automated Software Diversity (Oakland 2014)

SoK: Sanitizing for Security (Oakland 2019)

Felix C. Freiling

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)

Kevin Fu

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)

Benjamin Fuller

SoK: Cryptographically Protected Database Search (Oakland 2017)

Carlos Gañán

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Vijay Gadepally

SoK: Cryptographically Protected Database Search (Oakland 2017)

David Galindo

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)

Christina Garman

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Gonzalo Garrido

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Gonzalo Munilla Garrido

SoK: Data Privacy in Virtual Reality (PETS 2024)

Sneha Gaur

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Chang Ge

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Daniel Genkin

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Arthur Gervais

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

SoK: Data Sovereignty (EuroS&P 2023)

Jan Gilcher

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)

Cristiano Giuffrida

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)

Ian Goldberg

Formalizing Anonymous Blacklisting Systems (Oakland 2011)

SoK: Secure Messaging (Oakland 2015)

SoK: Privacy-Preserving Reputation Systems (PETS 2021)

SoK: Metadata-Protecting Communication Systems (PETS 2024)

Neil Gong

SoK: Secure Human-centered Wireless Sensing (PETS 2024)

Jérôme Govinden

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)

Akul Goyal

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Matthew Green

SoK: Cryptographic Confidentiality of Data on Mobile Devices (PETS 2022)

Chris Grier

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

John Grosen

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Igor Santos Grueiro

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)

Patricia Guerra-Balboa

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)

Carlos Guestrin

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)

Qiming Guo

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)

Divij Gupta

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)

Payas Gupta

SoK: Fraud in Telephony Networks (EuroS&P 2017)

Stan Gurtler

SoK: Privacy-Preserving Reputation Systems (PETS 2021)

Dylan Hadfield-Menell

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)

Thomas Haines

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)

Ariel Hamlin

SoK: Cryptographically Protected Database Search (Oakland 2017)

Xingshuo Han

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)

Md Sadun Haq

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)

Ben Hardekopf

Timing- and Termination-Sensitive Secure Information Flow: Exploring a New Approach (Oakland 2011)

Thomas Hardjono

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)

Wajih Ul Hassan

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Marcella Hastings

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)

Christophe Hauser

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Weijia He

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

Aditya Hegde

SoK: Efficient Privacy-preserving Clustering (PETS 2021)

Hoda Heidari

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)

Gernot Heiser

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)

Brett Hemenway

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)

Ryan Henry

Formalizing Anonymous Blacklisting Systems (Oakland 2011)

Cormac Herley

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)

SoK: Science, Security, and the Elusive Goal of Security as a Scientific Pursuit (Oakland 2017)

Julia Hesse

SoK: Oblivious Pseudorandom Functions (EuroS&P 2022)

Josiah Hester

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

Raphael Hiesgen

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)

Anwar Hithnawi

SoK: An Overview of FHE Compilers and Tools (Oakland 2021)

Anson Ho

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)

Johannes Hoffmann

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)

James K Holland

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)

Ken Holstein

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)

Nadja Ramhöj Holtryd

SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations (EuroS&P 2023)

Thorsten Holz

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Andrei Homescu

SoK: Automated Software Diversity (Oakland 2014)

Jingtao Hong

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)

Nicholas Hopper

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)

Péter Horváth

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)

Sebastian Houben

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Adele Howe

The Psychology of Security for the Home Computer User (Oakland 2012)

Yuzheng Hu

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Yue Huang

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)

Jean-Pierre Hubaux

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)

Jevan Hutson

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Muhammad Adil Inam

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Nathan Inkawhich

SoK: A Review of Differentially Private Linear Models For High Dimensional Data (SaTML 2024)

Wafa Ben Jaballah

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)

Mohammad Jahanara

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)

Bhushan Jain

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)

Matthias Jakobs

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Louis Jannett

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)

Patrick Jattke

SoK: An Overview of FHE Compilers and Tools (Oakland 2021)

Xuxian Jiang

Dissecting Android Malware: Characterization and Evolution (Oakland 2012)

Edward Jiang

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)

Tushar M. Jois

SoK: Cryptographic Confidentiality of Data on Mobile Devices (PETS 2022)

Philipp Jovanovic

SoK: Public Randomness (EuroS&P 2024)

Jordan Jueckstock

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)

Dan Jurafsky

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)

Boris Köpf

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

Seny Kamara

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)

Salil S. Kanhere

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)

SoK: Trusting Self-Sovereign Identity (PETS 2024)

Chris Kanich

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)

Alexandros Kapravelos

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)

Vineeth Kashyap

Timing- and Termination-Sensitive Secure Information Flow: Exploring a New Approach (Oakland 2011)

Abdelkarim Kati

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)

Alireza Kavousi

SoK: Public Randomness (EuroS&P 2024)

Anna Kawakami

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)

Patrick Gage Kelley

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Florian Kerschbaum

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)

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)

Tanveer Khan

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)

Amol Khanna

SoK: A Review of Differentially Private Linear Models For High Dimensional Data (SaTML 2024)

Yongdae Kim

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)

Engin Kirda

SoK: Cryptojacking Malware (EuroS&P 2021)

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

Ágnes Kiss

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)

Tadayoshi Kohno

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)

David Koisser

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)

Konstantin

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)

Turgay Korkmaz

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)

Eric Koskinen

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Erik van der Kouwe

SoK: Benchmarking Flaws in Systems Security (EuroS&P 2019)

Christian Kreibich

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

John Kristoff

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)

Joshua A. Kroll

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)

Christopher Kruegel

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Evan Krul

SoK: Trusting Self-Sovereign Identity (PETS 2024)

Ralf Kuesters

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)

Deepak Kumar

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Nihal Kumarswamy

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Denis Foo Kune

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)

Efrén López-Morales

SoK: Security of Programmable Logic Controllers (USENIX 2024)

Piergiorgio Ladisa

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)

Pierre Laperdrix

SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers (EuroS&P 2021)

Per Larsen

SoK: Automated Software Diversity (Oakland 2014)

SoK: Sanitizing for Security (Oakland 2019)

Pavel Laskov

SoK: The Impact of Unlabelled Data in Cyberthreat Detection (EuroS&P 2022)

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection (EuroS&P 2023)

Silvio Lattanzi

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)

Jan Lauinger

SoK: Data Sovereignty (EuroS&P 2023)

Dirk Lauret

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)

Seth Layton

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)

Jenna Lee

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Axel Legay

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)

Anja Lehmann

SoK: Oblivious Pseudorandom Functions (EuroS&P 2022)

Ada Lerner

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Julian Lettner

SoK: Sanitizing for Security (Oakland 2019)

Chaz Lever

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)

Xinda Li

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)

Linyi Li

SoK: Certified Robustness for Deep Neural Networks (Oakland 2023)

Bo Li

SoK: Certified Robustness for Deep Neural Networks (Oakland 2023)

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Rujia Li

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)

Jiwei Li

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)

Qinbin Li

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Xiao Liang

SoK: Plausibly Deniable Storage (PETS 2022)

Kevin Liao

SoK: Computer-Aided Cryptography (Oakland 2021)

Chen Ling

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Zhibo Liu

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)

Jason Liu

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Jian Liu

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)

Yang Liu

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)

Zhuoran Liu

SoK: Neural Network Extraction Through Physical Side Channels (USENIX 2024)

Benjamin Livshits

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)

Yunhui Long

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Long Lu

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)

Nils Lukas

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Oakland 2022)

Helen Möllering

SoK: Efficient Privacy-preserving Clustering (PETS 2021)

Jens Müller

SoK: Exploiting Network Printers (Oakland 2017)

Sebastian Müller

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Roel Maes

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)

Christian Mainka

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)

Nathan Malkin

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

Madhavan Manivannan

SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations (EuroS&P 2023)

Aathira Manoj

SoK: Distributed Randomness Beacons (Oakland 2023)

Mohamad Mansouri

SoK: Secure Aggregation based on cryptographic schemes for Federated Learning (PETS 2023)

Bing Mao

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Matias Martinez

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)

Ryusuke Masuoka

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)

Nate Mathews

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)

Tara Matthews

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Clémentine Maurice

SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers (EuroS&P 2021)

Jonathan R. Mayer

Third-Party Web Tracking Policy and Technology (Oakland 2012)

Jonathan Mayer

SoK: Content Moderation for End-to-End Encryption (PETS 2023)

Andreas Mayer

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)

Michelle L. Mazurek

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Damon McCoy

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

Jonathan M. McCune

Bootstrapping Trust in Commodity Computers (Oakland 2010)

Patrick McDaniel

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)

Emily McReynolds

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Sarah Meiklejohn

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: SCT Auditing in Certificate Transparency (PETS 2022)

Nicole Meister

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)

Alejandro Mera

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)

Noor Michael

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

Antonis Michalas

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)

Andrew Miller

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)

SoK: Data Sovereignty (EuroS&P 2023)

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Jaron Mink

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions (Oakland 2023)

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)

Àlex Miranda-Pascual

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)

Shujaat Mirza

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)

John Mitchell

State of the Art: Automated Black-Box Web Application Vulnerability Testing (Oakland 2010)

John C. Mitchell

How Good are Humans at Solving CAPTCHAs? A Large Scale Evaluation (Oakland 2010)

Third-Party Web Tracking Policy and Technology (Oakland 2012)

John Darby Mitchell

SoK: Cryptographically Protected Database Search (Oakland 2017)

Richard Mitev

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)

Vladislav Mladenov

SoK: Exploiting Network Printers (Oakland 2017)

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)

Tarik Moataz

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)

Daniel Moghimi

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)

John V. Monaco

SoK: Keylogging Side Channels (Oakland 2018)

Fabian Monrose

SoK: Security Evaluation of Home-Based IoT Deployments (Oakland 2019)

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)

Tyler Moore

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Olivia Morkved

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

Rafieh Mosaheb

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)

Johannes Mueller

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)

Marius Muench

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Yeoul Na

SoK: Sanitizing for Security (Oakland 2019)

Azqa Nadeem

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Masoud Naderpour

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)

Vivek Nair

SoK: Data Privacy in Virtual Reality (PETS 2024)

Arvind Narayanan

SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (Oakland 2015)

Ben Nassi

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)

Muhammad Naveed

SoK: Anatomy of Data Breaches (PETS 2020)

Marcin Nawrocki

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)

Tushar Nayan

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)

Surya Nepal

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)

Lucien K. L Ng

SoK: Cryptographic Neural-Network Computation (Oakland 2023)

Thien Duc Nguyan

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)

Khoa Nguyen

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training (PETS 2024)

Shirin Nilizadeh

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Shuonan Niu

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Daniel Noble

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)

Maximilian Noppel

SoK: Explainable Machine Learning in Adversarial Environments (Oakland 2024)

Devon O’Brien

SoK: SCT Auditing in Certificate Transparency (PETS 2022)

Borke Obada-Obieh

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)

Se Eun Oh

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)

Victor Ojewale

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)

Daniel Olszewski

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)

Paul C. van Oorschot

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)

SoK: SSL and HTTPS: Revisiting Past Challenges and Evaluating Certificate Trust Model Enhancements (Oakland 2013)

SoK: Science, Security, and the Elusive Goal of Security as a Scientific Pursuit (Oakland 2017)

Christina Pöpper

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)

Hye-young Paik

SoK: Trusting Self-Sovereign Identity (PETS 2024)

Luca Pajola

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Bijeeta Pal

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)

Alessandro Panconesi

SoK: The Evolution of Sybil Defense via Social Networks (Oakland 2013)

Chengbin Pang

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Nicolas Papernot

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)

Bryan Parno

Bootstrapping Trust in Commodity Computers (Oakland 2010)

SoK: Computer-Aided Cryptography (Oakland 2021)

Javier Parra-Arnau

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)

Sergio Pastrana

SoK: Privacy-Preserving Computation Techniques for Deep Learning (PETS 2021)

Kenneth G. Paterson

SoK: Efficient Design and Implementation of Polynomial Hash Functions over Prime Fields (Oakland 2024)

Pujan Paudel

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Andrew Paverd

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

Vern Paxson

Outside the Closed World: On Using Machine Learning For Network Intrusion Detection (Oakland 2010)

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)

Mathias Payer

SoK: Eternal War in Memory (Oakland 2013)

SoK: Shining Light on Shadow Stacks (Oakland 2019)

Balázs Pejó

SoK: Differential privacies (PETS 2020)

Giancarlo Pellegrino

SoK: State of the Krawlers - Evaluating the Effectiveness of Crawling Algorithms for Web Security Measurements (USENIX 2024)

Roberto Perdisci

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)

Olivier Pereira

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)

Henning Perl

SoK: Secure Messaging (Oakland 2015)

Adrian Perrig

Bootstrapping Trust in Commodity Computers (Oakland 2010)

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)

Sandro Pinto

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)

Ulysse Planta

SoK: Security of Programmable Logic Controllers (USENIX 2024)

Henrik Plate

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains (Oakland 2023)

Daniel Plohmann

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

Norbert Pohlmann

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

Mario Polino

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Michalis Polychronakis

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)

Donald E. Porter

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)

Georgios Portokalidis

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Jovan Powar

SoK: Managing risks of linkage attacks on data privacy (PETS 2023)

Ivan Pryvalov

SoK: Secure E-Voting with Everlasting Privacy (PETS 2023)

Apostolos Pyrgelis

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)

Kaihua Qin

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

Christian Rückert

SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Experts and Legal Practitioners (PETS 2022)

Edward Raff

SoK: A Review of Differentially Private Linear Models For High Dimensional Data (SaTML 2024)

Mohammad Saidur Rahman

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)

Muhammad Haris Rais

SoK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities (EuroS&P 2023)

Prabhu Rajasekaran

SoK: Sanitizing for Security (Oakland 2019)

Inioluwa Deborah Raji

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)

Annanda Rath

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)

Tilman Rauker

SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks (SaTML 2023)

Indrajit Ray

The Psychology of Security for the Home Computer User (Oakland 2012)

Joel Reardon

SoK: Secure Data Deletion (Oakland 2013)

Elissa M. Redmiles

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)

Thomas Ristenpart

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Etienne Riviere

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)

Mark Roberts

The Psychology of Security for the Home Computer User (Oakland 2012)

Jay Rodolitz

SoK: Technical Implementation and Human Impact of Internet Privacy Regulations (Oakland 2024)

Franziska Roesner

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)

Thomas Rokicki

SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers (EuroS&P 2021)

Eyal Ronen

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Viktoria Ronge

SoK: Assumptions underlying Cryptocurrency Deanonymizations - A Taxonomy for Scientific Experts and Legal Practitioners (PETS 2022)

Christian Rossow

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

Aviel D. Rubin

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)

Carlos Rubio-Medrano

SoK: Security of Programmable Logic Controllers (USENIX 2024)

Laura von Rueden

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Sushmita Ruj

SoK: Trusting Self-Sovereign Identity (PETS 2024)

Michael Rushanan

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)

Mark Ryan

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)

Ahmad-Reza Sadeghi

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)

SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities (EuroS&P 2021)

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)

Ahmad Reza Sadeghi

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)

Merve Sahin

SoK: Fraud in Telephony Networks (EuroS&P 2017)

Hamza Saleem

SoK: Anatomy of Data Breaches (PETS 2020)

Ahmed Salem

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

Christopher Salls

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Nuno Santos

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-Assisted TEE Systems (Oakland 2020)

Ralf Sasse

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)

Sajin Sasy

SoK: Metadata-Protecting Communication Systems (PETS 2024)

Nolen Scaife

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)

Stephan van Schaik

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Tobias Scharnowski

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Sarah Scheffler

SoK: Content Moderation for End-to-End Encryption (PETS 2023)

Philip Scherer

SoK: Provably Secure Onion Routing against a Global Adversary (PETS 2024)

Nico Schiller

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Moritz Schloegel

SoK: Prudent Evaluation Practices for Fuzzing (Oakland 2024)

Thomas C. Schmidt

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)

Thomas Schneider

SoK: Modular and Efficient Private Decision Tree Evaluation (PETS 2019)

SoK: Efficient Privacy-preserving Clustering (PETS 2021)

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)

Johannes Schneider

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection (EuroS&P 2023)

Theodor Schnitzler

SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data (PETS 2021)

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)

Jörg Schwenk

SoK: Exploiting Network Printers (Oakland 2017)

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)

Ali Aydin Selcuk

SoK: Cryptojacking Malware (EuroS&P 2021)

Shayak Sen

SoK: Differential Privacy as a Causal Property (Oakland 2020)

Alex Seto

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Asaf Shabtai

SoK: Security and Privacy in the Age of Commercial Drones (Oakland 2021)

Shawn Shan

SoK: Anti-Facial Recognition Technology (Oakland 2023)

Richard Shay

SoK: Cryptographically Protected Database Search (Oakland 2017)

Emily Shen

SoK: Cryptographically Protected Database Search (Oakland 2017)

Judy Hanwen Shen

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)

Hocheol Shin

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)

Yan Shoshitaishvili

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Thomas Shrimpton

Peek-a-Boo, I Still See you: Why Efficient Traffic Analysis Countermeasures Fail (Oakland 2012)

Sabeeka Siddiqui

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

Mohit Singhal

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Arunesh Sinha

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)

Radu Sion

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)

SoK: Plausibly Deniable Storage (PETS 2022)

Manya Sleeper

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

Matthew Smith

SoK: Secure Messaging (Oakland 2015)

SoK: Lessons Learned From Android Security Research For Appified Software Platforms (Oakland 2016)

Ravital Solomon

SoK: Privacy-Preserving Computing in the Blockchain Era (EuroS&P 2022)

Robin Sommer

Outside the Closed World: On Using Machine Learning For Network Intrusion Detection (Oakland 2010)

Juraj Somorovsky

SoK: Exploiting Network Printers (Oakland 2017)

Dawn Song

SoK: Eternal War in Memory (Oakland 2013)

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

SoK: Data Sovereignty (EuroS&P 2023)

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

SoK: Data Privacy in Virtual Reality (PETS 2024)

Dokyung Song

SoK: Sanitizing for Security (Oakland 2019)

Lucrezia Spagnolo

SoK: The Dual Nature of Technology in Sexual Assault (Oakland 2022)

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)

Christoph Sprenger

SoK: Delegation and Revocation, the Missing Links in the Web’s Chain of Trust (EuroS&P 2020)

Aleksei Stafeev

SoK: State of the Krawlers - Evaluating the Effectiveness of Crawling Algorithms for Web Security Measurements (USENIX 2024)

Frank Stajano

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes (Oakland 2012)

Francois-Xavier Standaert

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)

Emily Stark

SoK: SCT Auditing in Certificate Transparency (PETS 2022)

Ryan Steed

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)

Maarten van Steen

Prudent Practices for Designing Malware Experiments: Status Quo and Outlook (Oakland 2012)

Deian Stefan

SoK: Practical Foundations for Software Spectre Defenses (Oakland 2022)

Sebastian Steinhorst

SoK: Data Sovereignty (EuroS&P 2023)

Per Stenström

SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations (EuroS&P 2023)

Nick Stephens

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Sophie Stephenson

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)

Brett Stone-Gross

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

Gianluca Stringhini

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Thorsten Strufe

SoK: Differentially Private Publication of Trajectory Data (PETS 2023)

SoK: Provably Secure Onion Routing against a Global Adversary (PETS 2024)

Karthika Subramani

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations (EuroS&P 2022)

Ruimin Sun

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses (EuroS&P 2021)

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)

Wei Sun

SoK: Secure Human-centered Wireless Sensing (PETS 2024)

Anshuman Suri

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)

Fnu Suya

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)

Colleen Swanson

SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks (Oakland 2014)

Laszlo Szekeres

SoK: Eternal War in Memory (Oakland 2013)

Sebastian Szyller

SoK: Unintended Interactions among Machine Learning Defenses and Risks (Oakland 2024)

Hanxiao Tan

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Aliya Tastemirova

SoK: The Impact of Unlabelled Data in Cyberthreat Detection (EuroS&P 2022)

Ege Tekiner

SoK: Cryptojacking Malware (EuroS&P 2021)

David Theodore

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)

Kurt Thomas

SoK: Hate, Harassment, and the Changing Landscape of Online Abuse (Oakland 2021)

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

Chris Thompson

SoK: SCT Auditing in Certificate Transparency (PETS 2022)

Poojitha Thota

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice (EuroS&P 2023)

Jing Tian

SoK: “Plug & Pray” Today - Understanding USB Insecurity in Versions 1 through C (Oakland 2018)

Yuan Tian

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)

Dave Tian

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)

Vanessa Toborek

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Shruti Tople

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

Ali Saman Tosun

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)

Patrick Traynor

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)

Amos Treiber

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)

Carmela Troncoso

OB-PWS: Obfuscation-Based Private Web Search (Oakland 2012)

Juan Ramón Troncoso-Pastoriza

SoK: Privacy-Preserving Collaborative Tree-based Model Learning (PETS 2021)

Tomasz Truderung

SoK: Verifiability Notions for E-Voting Protocols (Oakland 2016)

Michael C. Tschantz

SoK: Towards Grounding Censorship Circumvention in Empiricism (Oakland 2016)

SoK: Differential Privacy as a Causal Property (Oakland 2020)

Emily Tseng

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Huahong Tu

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)

Tyler Tucker

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)

Sebastian Uellenbeck

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)

Xabier Ugarte-Pedrero

SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers (Oakland 2015)

A. Selcuk Uluagac

SoK: Cryptojacking Malware (EuroS&P 2021)

Selcuk Uluagac

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice (USENIX 2024)

Nik Unger

SoK: Secure Messaging (Oakland 2015)

Blase Ur

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

Malgorzata Urbanska

The Psychology of Security for the Home Computer User (Oakland 2012)

Mayank Varia

SoK: Cryptographically Protected Database Search (Oakland 2017)

Andre Vasconcelos

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)

Briana Vecchione

SoK: AI Auditing: The Broken Bus on the Road to AI Accountability (SaTML 2024)

Mathew Vermeer

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Sicco Verwer

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Alexander Viand

SoK: An Overview of FHE Compilers and Tools (Oakland 2021)

Giovanni Vigna

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Stijn Volckaert

SoK: Sanitizing for Security (Oakland 2019)

Franziska Vollmer

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)

Franziska Volmer

SoK: A Comprehensive Analysis and Evaluation of Docker Container Attack and Defense Mechanisms (Oakland 2024)

Daniël Vos

SoK: Explainable Machine Learning for Computer Security Applications (EuroS&P 2023)

Jelle Vos

SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model (Oakland 2024)

Matthias Wählisch

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots (EuroS&P 2023)

Christian Wachsmann

A Formal Foundation for the Security Features of Physical Functions (Oakland 2011)

Ruoyu Wang

SoK: (State of) The Art of War: Offensive Techniques in Binary Analysis (Oakland 2016)

Shuai Wang

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)

Zhipeng Wang

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

SoK: Public Randomness (EuroS&P 2024)

Ye Wang

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

Qin Wang

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)

Qi Wang

SoK: TEE-assisted Confidential Smart Contract (PETS 2022)

Shuo Wang

SoK: Can Trajectory Generation Combine Privacy and Utility? (PETS 2024)

Noel Warford

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Bogdan Warinschi

SoK: A comprehensive analysis of game-based ballot privacy definitions (Oakland 2015)

Kevin Warren

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems (Oakland 2021)

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets (USENIX 2024)

Roger Wattenhofer

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

Tao Wei

SoK: Eternal War in Memory (Oakland 2013)

Miranda Wei

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors (USENIX 2024)

Christiane Weis

SoK: Provably Secure Onion Routing against a Global Adversary (PETS 2024)

Pascal Welke

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview (SaTML 2023)

Michael P. Wellman

SoK: Security and Privacy in Machine Learning (EuroS&P 2018)

Emily Wenger

SoK: Anti-Facial Recognition Technology (Oakland 2023)

Tillmann Werner

SoK: P2PWNED — Modeling and Evaluating the Resilience of Peer-to-Peer Botnets (Oakland 2013)

Jan Werner

SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security (Oakland 2019)

Jonathan West

SoK: A Framework for Asset Discovery: Systematizing Advances in Network Measurements for Protecting Organizations (EuroS&P 2021)

Maximilian Westers

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)

Tobias Wich

SoK: Single Sign-On Security — An Evaluation of OpenID Connect (EuroS&P 2017)

SoK: SSO-Monitor - The Current State and Future Research Directions in Single Sign-On Security Measurements (EuroS&P 2024)

Ben Wiedermann

Timing- and Termination-Sensitive Secure Information Flow: Exploring a New Approach (Oakland 2011)

Caleb Winston

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)

Jill Palzkill Woelfer

SoK: Safer Digital-Safety Research Involving At-Risk Users (Oakland 2024)

Christopher Wolf

Mobile Security Catching Up? - Revealing the nuts and bolts of the security of mobile devices (Oakland 2011)

David Wong

SoK: What Don’t We Know? Understanding Security Vulnerabilities in SNARKs (USENIX 2024)

Daniel W. Woods

SoK: Quantifying Cyber Risk (Oakland 2021)

Theodora Worledge

SoK: Unifying Corroborative and Contributive Attributions in Large Language Models (SaTML 2024)

Christian Wressnegger

SoK: Explainable Machine Learning in Adversarial Environments (Oakland 2024)

Matthew Wright

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses (Oakland 2023)

Yuxi Wu

SoK: Social Cybersecurity (Oakland 2022)

Fan Wu

SoK: Privacy-Preserving Data Synthesis (Oakland 2024)

Jianliang Wu

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)

Ruoyu Wu

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)

Tao Xie

SoK: Certified Robustness for Deep Neural Networks (Oakland 2023)

Xihan Xiong

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

Wenyuan Xu

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)

Jun Xu

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Yuan Xu

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)

Dongyan Xu

SoK: The Long Journey of Exploiting and Defending the Legacy of King Harald Bluetooth (Oakland 2024)

Nikita Yadav

Orbital Trust and Privacy: SoK on PKI and Location Privacy Challenges in Space Networks (USENIX 2024)

Hossein Yalame

SoK: Efficient Privacy-preserving Clustering (PETS 2021)

Chen Yan

SoK: A Minimalist Approach to Formalizing Analog Sensor Security (Oakland 2020)

Kaitlyn Yang

SoK: A Framework for Unifying At-Risk User Research (Oakland 2022)

Yuval Yarom

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Kevin Yeo

SoK: SCT Auditing in Certificate Transparency (PETS 2022)

Arkady Yerukhimovich

SoK: Cryptographically Protected Database Search (Oakland 2017)

Michael Yonli

SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data (EuroS&P 2022)

Ruotong Yu

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly but Were Afraid to Ask (Oakland 2021)

Yuanyuan Yuan

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications (Oakland 2022)

Thomas Yurek

SoK: SGX.Fail: How Stuff Gets eXposed (Oakland 2024)

Santiago Zanella-Beguelin

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (Oakland 2023)

Igor Zavalyshyn

SoK: Privacy-enhancing Smart Home Hubs (PETS 2022)

Steve Zdancewic

SoK: General Purpose Compilers for Secure Multi-Party Computation (Oakland 2019)

Shaza Zeitouni

SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities (EuroS&P 2021)

Dongli Zhang

SoK: Introspections on Trust and the Semantic Gap (Oakland 2014)

Xinping Zhang

SoK: Shining Light on Shadow Stacks (Oakland 2019)

Tianwei Zhang

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View (EuroS&P 2023)

Tingwei Zhang

SoK: Pitfalls in Evaluating Black-Box Attacks (SaTML 2024)

Luyao Zhang

SoK: Security and Privacy of Blockchain Interoperability (Oakland 2024)

Ziming Zhao

SoK: Everyone Hates Robocalls: A Survey of Techniques against Telephone Spam (Oakland 2016)

Valerie Zhao

SoK: Context Sensing for Access Control in the Adversarial Home IoT (EuroS&P 2021)

Yuhang Zhao

SoK: Authentication in Augmented and Virtual Reality (Oakland 2022)

Ben Y. Zhao

SoK: Anti-Facial Recognition Technology (Oakland 2023)

Haitao Zheng

SoK: Anti-Facial Recognition Technology (Oakland 2023)

Yajin Zhou

Dissecting Android Malware: Characterization and Evolution (Oakland 2012)

Liyi Zhou

SoK: Decentralized Finance (DeFi) Attacks (Oakland 2023)

SoK: Data Sovereignty (EuroS&P 2023)

Haiyi Zhu

SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms (SaTML 2023)

Maximilian Zinkus

SoK: Cryptographic Confidentiality of Data on Mobile Devices (PETS 2022)