Minhua Lin
Cited by
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Unnoticeable Backdoor Attacks on Graph Neural Networks
E Dai*, M Lin*, X Zhang, S Wang
Proceedings of the ACM Web Conference 2023, 2023
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
B Wang*, M Lin*, T Zhou*, P Zhou, A Li, M Pang, H Li, Y Chen
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
Certifiably Robust Graph Contrastive Learning
M Lin, T Xiao, E Dai, X Zhang, S Wang
Advances in Neural Information Processing Systems 36, 2023
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
J Xu, Z Wu, M Lin, X Zhang, S Wang
arXiv preprint arXiv:2406.01032, 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
Z Zhang, M Lin, E Dai, S Wang
KDD 2024, 2024
Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks
Z Zhang, M Lin, J Xu, Z Wu, E Dai, S Wang
arXiv preprint arXiv:2406.09836, 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
E Dai*, M Lin*, S Wang
arXiv preprint arXiv:2402.04435, 2024
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