2020
Adversarial Robustness via Runtime Masking and Cleansing
ICML 2020poster
Deep neural networks are shown to be vulnerable to adversarial attacks. This motivates robust learning techniques, such as the adversarial training, whose goal is to learn a network that is robust against adversarial attacks. However, the sample complexity of robust learning can be significantly lar…