Sizhe Chen

Double Backpropagation for Training Autoencoders against Adversarial Attack

2020 · arXiv (Cornell University)

Deep learning, as widely known, is vulnerable to adversarial samples. This paper focuses on the adversarial attack on autoencoders. Safety of the autoencoders (AEs) is important because they are widely used as a compression scheme …