Media Summary: Splitting the Difference on Adversarial Training EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection Shigang Liu, CSIRO's Data61 and Swinburne ... Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach Qi Tan, Department of ...
Usenix Security 24 Splitting The Difference On Adversarial Training - Detailed Analysis & Overview
Splitting the Difference on Adversarial Training EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection Shigang Liu, CSIRO's Data61 and Swinburne ... Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach Qi Tan, Department of ... On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li, Stony Brook University; Ren Pang, ... A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data Meenatchi Sundaram Muthu Selva ... SoK: Neural Network Extraction Through Physical Side Channels Péter Horváth, Dirk Lauret, Zhuoran Liu, and Lejla Batina, ...
INSIGHT: Attacking Industry-Adopted Learning Resilient Logic Locking Techniques Using Explainable Graph Neural Network ... Neural Network Semantic Backdoor Detection and Mitigation: A Causality-Based Approach Bing Sun, Jun Sun, and Wayne Koh, ... Lessons Learned from Evaluating the Robustness of Defenses to Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks Pranav Dahiya, ...
