SoK Papers in IEEE Conference on Secure and Trustworthy Machine Learning
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Other Conferences with SoK
| 2024 | |
| SoK: A Review of Differentially Private Linear Models For High Dimensional Data | Amol Khanna, Edward Raff, Nathan Inkawhich |
| SoK: AI Auditing: The Broken Bus on the Road to AI Accountability | Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji |
| SoK: Pitfalls in Evaluating Black-Box Attacks | Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans |
| SoK: Unifying Corroborative and Contributive Attributions in Large Language Models | Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin |
| 2023 | |
| SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms | Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari |
| SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview | Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden |
| SoK: Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks | Tilman Rauker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell |