Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples

Kamil Nar, Orhan Ocal, S. Shankar Sastry +1

State-of-the-art neural networks are vulnerable to adversarial examples; they can easily misclassify inputs that are imperceptibly different than their training and test data. In t…