Adversarial Attacks and Defenses on Graphs
Wei Jin, Yaxing Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charų C. Aggarwal, Jiliang Tang · ACM SIGKDD Explorations Newsletter · 2021
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.