Media Summary: SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, ... SoK: Neural Network Extraction Through Physical Side Channels Péter Horváth, Dirk Lauret, Zhuoran Liu, and Lejla Batina, ...

Usenix Security 21 Pasan Detecting - Detailed Analysis & Overview

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, ... SoK: Neural Network Extraction Through Physical Side Channels Péter Horváth, Dirk Lauret, Zhuoran Liu, and Lejla Batina, ...

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USENIX Security '21 - PASAN: Detecting Peripheral Access Concurrency Bugs within Bare-Metal...
USENIX Security '21 - Understanding and Detecting Disordered Error Handling with Precise Function
USENIX Security '21 - MPInspector: A Systematic and Automatic Approach for Evaluating the Security
USENIX Security '21 - ATLAS: A Sequence-based Learning Approach for Attack Investigation
USENIX Security '21 - Acoustics to the Rescue: Physical Key Inference Attack Revisited
USENIX Security '21 - Exposing New Vulnerabilities of Error Handling Mechanism in CAN
USENIX Security '21 - SmarTest: Effectively Hunting Vulnerable Transaction Sequences in Smart...
USENIX Security '21 - Double-Cross Attacks: Subverting Active Learning Systems
USENIX Security '21 - M2MON: Building an MMIO-based Security Reference Monitor for Unmanned Vehicles
USENIX Security '21 - Constraint-guided Directed Greybox Fuzzing
USENIX Security '21 - SelectiveTaint: Efficient Data Flow Tracking With Static Binary Rewriting
USENIX Security '21 - An Analysis of Speculative Type Confusion Vulnerabilities in the Wild
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