Matteo Terzi

Adversarial Training Reduces Information and Improves Transferability

Recent results show that features of adversarially trained networks for classification, in addition to being robust, enable desirable properties such as invertibility. The latter property may seem counter-intuitive as it is widely accepted by the community that classification models should only cap…