2020
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier
ICLR 2020poster
Adversarial attacks on convolutional neural networks (CNN) have gained significant attention and there have been active research efforts on defense mechanisms. Stochastic input transformation methods have been proposed, where the idea is to recover the image from adversarial attack by random transfo…