Less is More: Data Pruning for Faster Adversarial Training

Yize Li, Pu Zhao, Xue Lin +2

Deep neural networks (DNNs) are sensitive to adversarial examples, resulting in fragile and unreliable performance in the real world. Although adversarial training (AT) is currentl…