Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
arXiv:2604.26496v1 Announce Type: new
Abstract: 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 adversarial robustness. …