Yaxin Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Malicious Attacks

Theoretic Analysis

Diffusion Models

Top Venues

Publications

Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR (2024)
Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
Exploring Memorization in Fine-tuned Language Models. ACL (1) (2024)
Yaxin Li, Jie Ren, Han Xu, Hui Liu
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV (2024)
Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM (2023)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
Imbalanced Adversarial Training with Reweighting. ICDM (2022)
Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
Enhancing Adversarial Training with Feature Separability. CoRR (2022)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. ICML (2021)
Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. CoRR (2021)
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani M. Thuraisingham, Jiliang Tang
Imbalanced Adversarial Training with Reweighting. CoRR (2021)
Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML (2021)
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM (2021)
Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
Adversarial Robustness in Deep Learning: From Practices to Theories. KDD (2021)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. CoRR (2021)
Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR (2020)
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR (2020)
Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR (2020)
Yuejiang Li, Yaxin Li, Hong Hu, H. Vicky Zhao, Yan Chen
Graphical Evolutionary Game Theoretic Analysis of Super Users in Information Diffusion. ICASSP (2020)
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR (2020)
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. 22 (2) (2020)
Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD (2020)