A principled approach for generating adversarial images under non-smooth dissimilarity metrics

Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel +1

Deep neural networks perform well on real world data but are prone to adversarial perturbations: small changes in the input easily lead to misclassification. In this work, we propo…