Yaxin Li
Sitert av
Sitert av
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
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
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
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
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
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
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
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
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
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
Enhancing Adversarial Training with Feature Separability
Y Li, X Liu, H Xu, W Wang, J Tang
arXiv preprint arXiv:2205.00637, 2022
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
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
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