Balance, imbalance, and rebalance: Understanding robust overfitting from a minimax game perspective
Adversarial Training (AT) has become arguably the state-of-the-art algorithm for extracting
robust features. However, researchers recently notice that AT suffers from severe robust …
robust features. However, researchers recently notice that AT suffers from severe robust …
Phase-aware adversarial defense for improving adversarial robustness
Deep neural networks have been found to be vulnerable to adversarial noise. Recent works
show that exploring the impact of adversarial noise on intrinsic components of data can help …
show that exploring the impact of adversarial noise on intrinsic components of data can help …