Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training

Yanyun Wang, Qingqing Ye, Li Liu +2

Adversarial Training (AT) is one of the most effective methods for developing robust deep neural networks (DNNs). However, AT faces a trade-off problem between clean accuracy and a…