2021
Learning Transferable Adversarial Perturbations
NeurIPS 2021poster
While effective, deep neural networks (DNNs) are vulnerable to adversarial attacks. In particular, recent work has shown that such attacks could be generated by another deep network, leading to significant speedups over optimization-based perturbations. However, the ability of such generative method…