On the Properties of Adversarially-Trained CNNs

Mattia Carletti, Matteo Terzi, Gian Antonio Susto

Adversarial Training has proved to be an effective training paradigm to enforce robustness against adversarial examples in modern neural network architectures. Despite many efforts…