Zhu Liu

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

2023 · arXiv (Cornell University)

Adversarial Training (AT), pivotal in fortifying the robustness of deep learning models, is extensively adopted in practical applications. However, prevailing AT methods, relying on direct iterative updates for target model's defense, frequently encounter obstacles such …