Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification

Jianzhang Zheng, Fan Yang, Hao Shen +4

Adversarial attacks are often considered as threats to the robustness of Deep Neural Networks (DNNs). Various defending techniques have been developed to mitigate the potential neg…