Adversarial Attacks on Variational Autoencoders

George Gondim-Ribeiro, Pedro Tabacof, Eduardo Valle

Adversarial attacks are malicious inputs that derail machine-learning models. We propose a scheme to attack autoencoders, as well as a quantitative evaluation framework that correl…