F${}^2$AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns

Yaguan Qian, Chenyu Zhao, Zhaoquan Gu +5

Deep neural networks (DNNs) are vulnerable to adversarial examples crafted by well-designed perturbations. This could lead to disastrous results on critical applications such as se…