Towards Defending Multiple ${\ell }_p$-norm Bounded Adversarial Perturbations via Gated Batch Normalization

Aishan Liu, Shiyu Tang, Xinyun Chen +4

There has been extensive evidence demonstrating that deep neural networks are vulnerable to adversarial examples, which motivates the development of defenses against adversarial at…