Pengjun Wang

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

2022 · arXiv (Cornell University)

Recent studies demonstrate that deep networks, even robustified by the state-of-the-art adversarial training (AT), still suffer from large robust generalization gaps, in addition to the much more expensive training costs than standard training. In this …