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Minhua Lin
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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
532023
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
342024
Certifiably Robust Graph Contrastive Learning
M Lin, T Xiao, E Dai, X Zhang, S Wang
Advances in Neural Information Processing Systems 36, 2023
152023
Rethinking graph backdoor attacks: A distribution-preserving perspective
Z Zhang, M Lin, E Dai, S Wang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
122024
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
72024
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
72024
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
62024
Stealing Training Graphs from Graph Neural Networks
M Lin, E Dai, J Xu, J Jia, X Zhang, S Wang
KDD 2025, 2025
12025
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
M Lin, Z Chen, Y Liu, X Zhao, Z Wu, J Wang, X Zhang, S Wang, H Chen
arXiv preprint arXiv:2410.17462, 2024
12024
Trojan Prompt Attacks on Graph Neural Networks
M Lin, Z Zhang, E Dai, Z Wu, Y Wang, X Zhang, S Wang
arXiv preprint arXiv:2410.13974, 2024
12024
Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier
Z Hou, M Lin, MA Torkamani, S Wang, X Liu
2024 IEEE 11th International Conference on Data Science and Advanced …, 2024
12024
Fairness-aware Prompt Tuning for Graph Neural Networks
Z Li, M Lin, J Wang, S Wang
THE WEB CONFERENCE 2025, 2025
2025
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