Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation Regularization

Yaohua Liu, Jiaxin Gao, Xianghao Jiao +3

Adversarial Training (AT), pivotal in fortifying the robustness of deep learning models, is extensively adopted in practical applications. However, prevailing AT methods, relying o…