Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning

Byung-Kwan Lee, Junho Kim, Yong Man Ro

Adversarial examples derived from deliberately crafted perturbations on visual inputs can easily harm decision process of deep neural networks. To prevent potential threats, variou…