Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity

Bernardo Aquino, Arash Rahnama, Peter Seiler +2

Adversarial examples can easily degrade the classification performance in neural networks. Empirical methods for promoting robustness to such examples have been proposed, but often…