| Adversarial Attacks and Defenses on Graphs W Jin, Y Li, H Xu, Y Wang, S Ji, C Aggarwal, J Tang ACM SIGKDD Explorations Newsletter 22 (2), 19-34, 2021 | 315* | 2021 |
| Trustworthy ai: A computational perspective H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu, A Jain, J Tang ACM Transactions on Intelligent Systems and Technology 14 (1), 1-59, 2022 | 271 | 2022 |
| To be robust or to be fair: Towards fairness in adversarial training H Xu, X Liu, Y Li, A Jain, J Tang International conference on machine learning, 11492-11501, 2021 | 208 | 2021 |
| Deeprobust: a platform for adversarial attacks and defenses Y Li, W Jin, H Xu, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16078 …, 2021 | 196* | 2021 |
| Elastic graph neural networks X Liu, W Jin, Y Ma, Y Li, H Liu, Y Wang, M Yan, J Tang International Conference on Machine Learning, 6837-6849, 2021 | 142 | 2021 |
| Imbalanced adversarial training with reweighting W Wang, H Xu, X Liu, Y Li, B Thuraisingham, J Tang 2022 IEEE international conference on data mining (ICDM), 1209-1214, 2022 | 24 | 2022 |
| Adversarial attacks and defenses: Frontiers, advances and practice H Xu, Y Li, W Jin, J Tang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 22 | 2020 |
| Exploring memorization in fine-tuned language models S Zeng, Y Li, J Ren, Y Liu, H Xu, P He, Y Xing, S Wang, J Tang, D Yin arXiv preprint arXiv:2310.06714, 2023 | 19 | 2023 |
| Yet meta learning can adapt fast, it can also break easily H Xu, Y Li, X Liu, H Liu, J Tang Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 16 | 2021 |
| Neural Style Protection: Counteracting Unauthorized Neural Style Transfer Y Li, J Ren, H Xu, H Liu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| Graphical evolutionary game theoretic analysis of super users in information diffusion Y Li, Y Li, H Hu, HV Zhao, Y Chen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Enhancing Adversarial Training with Feature Separability Y Li, X Liu, H Xu, W Wang, J Tang arXiv preprint arXiv:2205.00637, 2022 | 1 | 2022 |
| Adversarial Robustness in Deep Learning: From Practices to Theories H Xu, Y Li, X Liu, W Wang, J Tang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | | 2021 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityZweryfikowany adres z msu.edu