Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective

1 code implementation • ICCV 2023 • Yulin Jin, XiaoYu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

The experimental evaluations manifest the superiority of SAT over other state-of-the-art AT mechanisms in defending against adversarial attacks against both output and intermediate layers.

Adversarial Attack Adversarial Robustness +1