Santosh Balachandra

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

Recent studies demonstrate the 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 paper, we investigate this intriguing problem fr…