Interpreting Adversarial Examples by Activation Promotion and Suppression

Kaidi Xu, Sijia Liu, Gaoyuan Zhang +5

It is widely known that convolutional neural networks (CNNs) are vulnerable to adversarial examples: images with imperceptible perturbations crafted to fool classifiers. However, i…