Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization

Shudong Zhang, Haichang Gao, Tianwei Zhang +2

Adversarial training (AT) has proven to be one of the most effective ways to defend Deep Neural Networks (DNNs) against adversarial attacks. However, the phenomenon of robust overf…