Publications and Preprints
Preprints († indicates a first author mentored by me.)
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 TangOn the Generalization of Training-based ChatGPT Detection Methods
Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang TangExploring Memorization in Fine-tuned Language Models
Shenglai Zeng†, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Jiliang Tang, Dawei YinConfidence-driven Sampling for Backdoor Attacks
Pengfei He†, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Yue Xing, Jiliang Tang, Makoto Yamada, Mohammad SabokrouFT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
Yingqian Cui†, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang TangDiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
Yingqian Cui†, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang TangA Comprehensive Survey on Trustworthy Recommender Systems.
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing LiTowards Generating Adversarial Examples on Mixed-type Data.
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Jiliang Tang, Mahashweta Das and Hao Yang.Towards Fair Classification against Poisoning Attacks.
Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang.
Publications (* indicates equal contribution, † indicates a first author mentored by me.)
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Jie Ren†, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NACCL Findings 2024)Sharpness-Aware Data Poisoning Attack
Pengfei He†, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu Aggarwal, Jiliang Tang
International Conference on Learning Representations (ICLR 2024, spotlight, top 5%)Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
Yaxin Li†, Jie Ren, Han Xu, Hui Liu
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)How does the Memorization of Neural Networks Impact Adversarial Robust Models?
Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023)Probabilistic Categorical Adversarial Attack & Adversarial Training.
Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliiang Tang
International Conference on Machine Learning (ICML 2023)Transferable Unlearnable Examples
Jie Ren*†, Han Xu*, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
International Conference on Learning Representations (ICLR 2023)Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan*, Han Xu*, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu Aggarwal
IEEE International Conference on Data Engineering (ICDE 2023)Imbalanced Adversarial Training with Reweighting
Wentao Wang*†, Han Xu*, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
IEEE International Conference on Data Mining (ICDM 2022)Graph neural networks with adaptive residual
Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
Conference on Neural Information Processing Systems (NeurIPS 2022)Deeprobust: A pytorch library for adversarial attacks and defenses
Yaxin Li†, Wei Jin, Han Xu, Jiliang Tang
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021)To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu*, Xiaorui Liu*, Yaxin Li, Anil K. Jain, Jiliang Tang
International Conference on Machine Learning (ICML 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 (SDM 2021)Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
SIGKDD Explorations 2021,Deep adversarial canonical correlation analysis
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
Proceedings of the 2020 SIAM International Conference on Data Mining, (SDM 2020)Adversarial attacks and defenses in images, graphs and text: A review
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
International Journal of Automation and Computing, 2020Covariance-insured screening
Kevin He, Jian Kang, Hyokyoung G.Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
Computational Statistics & Data Analysis, April 2019A selective overview of feature screening methods with applications to neuroimaging data.
Kevin He, Han Xu, Jian Kang
Wiley Interdisciplinary Reviews: Computational Statistics, March 2019