Yaxin Li

According to our database, Yaxin Li authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention.

Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang

CoRR, 2024

Neural Style Protection: Counteracting Unauthorized Neural Style Transfer.

Yaxin Li, Jie Ren, Han Xu, Hui Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

ACM Trans. Intell. Syst. Technol., February, 2023

Exploring Memorization in Fine-tuned Language Models.

Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin

CoRR, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Enhancing Adversarial Training with Feature Separability.

Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang

CoRR, 2022

Towards Practical Robustness Evaluation and Robustness Enhancing.

Yaxin Li

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Imbalanced Adversarial Training with Reweighting.

Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang

CoRR, 2021

Yet Meta Learning Can Adapt Fast, it Can Also Break Easily.

Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Adversarial Robustness in Deep Learning: From Practices to Theories.

Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

To be Robust or to be Fair: Towards Fairness in Adversarial Training.

Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang

Proceedings of the 38th International Conference on Machine Learning, 2021

Elastic Graph Neural Networks.

Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

Proceedings of the 38th International Conference on Machine Learning, 2021

DeepRobust: a Platform for Adversarial Attacks and Defenses.

Yaxin Li, Wei Jin, Han Xu, Jiliang Tang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Attacks and Defenses on Graphs.

Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang

SIGKDD Explor., 2020

To be Robust or to be Fair: Towards Fairness in Adversarial Training.

Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang

CoRR, 2020

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses.

Yaxin Li, Wei Jin, Han Xu, Jiliang Tang

CoRR, 2020

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study.

Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang

CoRR, 2020

Adversarial Attacks and Defenses: Frontiers, Advances and Practice.

Han Xu, Yaxin Li, Wei Jin, Jiliang Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graphical Evolutionary Game Theoretic Analysis of Super Users in Information Diffusion.

Yuejiang Li, Yaxin Li, Hong Hu, H. Vicky Zhao, Yan Chen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020