Han Xu - RankMe

65 papers A* 14A 4Journal 39Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Embedding Perturbation may Better Reflect the Uncertainty in LLM Reasoning. CoRR Qihao Wen, Jiahao Wang, Yang Nan, Pengfei He, Ravi Tandon, Han Xu
2026	J	`jnl`	Interpretable Probability Estimation with LLMs via Shapley Reconstruction. CoRR Yang Nan, Qihao Wen, Jiahao Wang, Pengfei He, Ravi Tandon, Yong Ge, Han Xu
2025	—	`conf`	Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? EMNLP (Findings) Yang Nan, Pengfei He, Ravi Tandon, Han Xu
2025	J	`jnl`	Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? CoRR Yang Nan, Pengfei He, Ravi Tandon, Han Xu
2025	J	`jnl`	Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal
2025	—	`conf`	Data Poisoning for In-context Learning. NAACL (Findings) Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2025	A*	`conf`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. EMNLP Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2025	J	`jnl`	Multi-Faceted Studies on Data Poisoning can Advance LLM Development. CoRR Pengfei He, Yue Xing, Han Xu, Zhen Xiang, Jiliang Tang
2025	—	`conf`	Red-Teaming LLM Multi-Agent Systems via Communication Attacks. ACL (Findings) Pengfei He, Yuping Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu
2025	J	`jnl`	Red-Teaming LLM Multi-Agent Systems via Communication Attacks. CoRR Pengfei He, Yupin Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu
2024	—	`conf`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	Copyright Protection in Generative AI: A Technical Perspective. CoRR Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024	J	`jnl`	Data Poisoning for In-context Learning. CoRR Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2024	J	`jnl`	DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
2024	J	`jnl`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2024	A	`conf`	Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV Yaxin Li, Jie Ren, Han Xu, Hui Liu
2024	—	`conf`	On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2024	A*	`conf`	Sharpness-Aware Data Poisoning Attack. ICLR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024	J	`jnl`	Stealthy Backdoor Attack via Confidence-driven Sampling. Trans. Mach. Learn. Res. Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2024	—	`conf`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024	A*	`conf`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing
2024	—	`conf`	Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	J	`jnl`	Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2023	J	`jnl`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2023	J	`jnl`	Confidence-driven Sampling for Backdoor Attacks. CoRR Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2023	J	`jnl`	DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
2023	A*	`conf`	How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
2023	A*	`conf`	Jointly Attacking Graph Neural Network and its Explanations. ICDE Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023	J	`jnl`	On the Generalization of Training-based ChatGPT Detection Methods. CoRR Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2023	A*	`conf`	Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
2023	J	`jnl`	Sharpness-Aware Data Poisoning Attack. CoRR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2023	A*	`conf`	Transferable Unlearnable Examples. ICLR Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2022	J	`jnl`	A Comprehensive Survey on Trustworthy Recommender Systems. CoRR Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
2022	J	`jnl`	Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
2022	A	`conf`	Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses. WSDM Han Xu
2022	J	`jnl`	Enhancing Adversarial Training with Feature Separability. CoRR Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
2022	A*	`conf`	Imbalanced Adversarial Training with Reweighting. ICDM Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022	J	`jnl`	Probabilistic Categorical Adversarial Attack & Adversarial Training. CoRR Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang
2022	A*	`conf`	Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang
2022	J	`jnl`	Towards Fair Classification against Poisoning Attacks. CoRR Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang
2022	J	`jnl`	Transferable Unlearnable Examples. CoRR Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2021	A*	`conf`	Adversarial Robustness in Deep Learning: From Practices to Theories. KDD Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021	A*	`conf`	DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2021	A*	`conf`	Graph Neural Networks with Adaptive Residual. NeurIPS Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
2021	J	`jnl`	Imbalanced Adversarial Training with Reweighting. CoRR Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2021	J	`jnl`	Jointly Attacking Graph Neural Network and its Explanations. CoRR Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2021	A*	`conf`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
2021	J	`jnl`	Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang
2021	A	`conf`	Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2020	J	`jnl`	Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
2020	J	`jnl`	Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang
2020	A*	`conf`	Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
2020	A	`conf`	Deep Adversarial Canonical Correlation Analysis. SDM Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
2020	J	`jnl`	DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2020	J	`jnl`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
2020	J	`jnl`	Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2019	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain