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SoK: Neural Network Extraction Through Physical Side Channels Péter Horváth, Dirk Lauret, Zhuoran Liu, and Lejla Batina, ... SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, ... "What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection Niklas Risse and Marcel Böhme, MPI-SP, ... INSIGHT: Attacking Industry-Adopted Learning Resilient Logic Locking Techniques Using Explainable Graph Neural Network ... SnailLoad: Exploiting Remote Network Latency Measurements without JavaScript Stefan Gast, Roland Czerny, Jonas Juffinger, ...
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USENIX Security '24 - Practical Data-Only Attack Generation
USENIX Security '23 - VIPER: Spotting Syscall-Guard Variables for Data-Only Attacks
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Last Updated: June 2, 2026
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