Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

Author:

Sun Yiwei1,Wang Suhang1,Tang Xianfeng1,Hsieh Tsung-Yu1,Honavar Vasant1

Affiliation:

1. The Pennsylvania State University

Publisher

ACM

Cited by 91 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Classification optimization node injection attack on graph neural networks;Knowledge-Based Systems;2024-10

2. Graph augmentation against structural poisoning attacks via structure and attribute reconciliation;International Journal of Machine Learning and Cybernetics;2024-09-11

3. A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning;IEEE Transactions on Network Science and Engineering;2024-09

4. Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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