Adversarial Attacks and Defenses on Graphs

Authors: Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang - ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020 cited by 162

Deep neural networks (DNNs) have achieved significant performance in various tasks. However, recent studies have shown that DNNs can be easily fooled by small perturbation on the input, called adversarial attacks.