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ORCIDHan Xu 0002
Person information
- affiliation: Michigan State University, USA
Other persons with the same name
- Han Xu — disambiguation page
- Han Xu 0001
![[0000-0002-6291-2924]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6291-2924")
— Wuhan University, China - Han Xu 0003 — Huazhong University of Science and Technology, Wuhan, China
- Han Xu 0004 — Peking University, Beijing, China
- Han Xu 0005 — South China Agricultural University, Guangzhou, China
- Han Xu 0006 — Tsinghua University, Beijing, China
- Han Xu 0007 — Auckland Tongji Rehabilitation Medical Equipment Research Centre, Tongji Zhejiang College, China
- Han Xu 0008 — National University of Defense Technology, Changsha, China
- Han Xu 0009 — Technische Universität München, Garching, Germany
- Han Xu 0010 — University of New South Wales, Sydney, NSW, Australia
- Han Xu 0011 — CSE, Hong Kong University of Science and Technology
- Han Xu 0012 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Han Xu 0013 — Nanyang Technological University, Singapore
Other persons with a similar name
- Xu Han — disambiguation page
- Xue Han — disambiguation page
- Xu Han 0001 — University of Connecticut, School of Electrical and Computer Engineering, Storrs, CT, USA
- Xu Han 0007 — Tsinghua University, Department of Computer Science and Technology, China
- Xu Han 0009 — University of North Carolina at Chapel Hill, UNC, Department of Computer Science, USA
- Xu Han 0011 — Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Tianjin, China (and 1 more)
- Xu Han 0012 — Tufts University, Department of Computer Science, Medford, MA, USA
- Hanyang Xu (aka: Han-yang Xu, Han-Yang Xu) — disambiguation page
- Yi-Han Xu
- Han Xue
- show all similar names
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2020 – today
- 2024
[c22]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: 3917-3948- [c21]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) 2024: 4505-4524 - [c20]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. ECCV (77) 2024: 340-356 - [c19]Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang:
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP 2024: 7067-7085 - [c18]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) 2024: 7223-7243 - [c17]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. ICLR 2024 - [c16]Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) 2024: 613-625 - [c15]Yaxin Li, Jie Ren, Han Xu, Hui Liu:
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV 2024: 3954-3963 - [i28]Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang:
Data Poisoning for In-context Learning. CoRR abs/2402.02160 (2024) - [i27]Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang:
Copyright Protection in Generative AI: A Technical Perspective. CoRR abs/2402.02333 (2024) - [i26]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR abs/2402.16893 (2024) - [i25]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 abs/2403.11052 (2024) - [i24]Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang:
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR abs/2406.10794 (2024) - [i23]Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang:
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR abs/2406.14773 (2024) - [i22]Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing:
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR abs/2410.09411 (2024) - 2023
- [c14]Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal:
Jointly Attacking Graph Neural Network and its Explanations. ICDE 2023: 654-667 - [c13]Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang:
Transferable Unlearnable Examples. ICLR 2023 - [c12]Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML 2023: 38428-38442 - [c11]Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang:
How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD 2023: 2801-2812 - [i21]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. CoRR abs/2305.14851 (2023) - [i20]Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang:
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR abs/2306.04642 (2023) - [i19]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. CoRR abs/2310.01307 (2023) - [i18]Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang:
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR abs/2310.02401 (2023) - [i17]Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou:
Confidence-driven Sampling for Backdoor Attacks. CoRR abs/2310.05263 (2023) - [i16]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. CoRR abs/2310.06714 (2023) - [i15]Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR abs/2311.08721 (2023) - 2022
- [c10]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. ICDM 2022: 1209-1214 - [c9]Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang:
Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD 2022: 4830-4831 - [c8]Han Xu:
Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses. WSDM 2022: 1559-1560 - [i14]Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang:
Enhancing Adversarial Training with Feature Separability. CoRR abs/2205.00637 (2022) - [i13]Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang:
Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR abs/2206.00769 (2022) - [i12]Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li:
A Comprehensive Survey on Trustworthy Recommender Systems. CoRR abs/2209.10117 (2022) - [i11]Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack & Adversarial Training. CoRR abs/2210.09364 (2022) - [i10]Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang:
Towards Fair Classification against Poisoning Attacks. CoRR abs/2210.09503 (2022) - [i9]Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang:
Transferable Unlearnable Examples. CoRR abs/2210.10114 (2022) - 2021
- [c7]Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI 2021: 16078-16080 - [c6]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: 11492-11501 - [c5]Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang:
Adversarial Robustness in Deep Learning: From Practices to Theories. KDD 2021: 4086-4087 - [c4]Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang:
Graph Neural Networks with Adaptive Residual. NeurIPS 2021: 9720-9733 - [c3]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM 2021: 540-548 - [i8]Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang:
Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR abs/2106.04794 (2021) - [i7]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. CoRR abs/2107.13639 (2021) - [i6]Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal:
Jointly Attacking Graph Neural Network and its Explanations. CoRR abs/2108.03388 (2021) - 2020
- [j2]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. 17(2): 151-178 (2020) - [j1]Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. 22(2): 19-34 (2020) - [c2]Han Xu, Yaxin Li, Wei Jin, Jiliang Tang:
Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD 2020: 3541-3542 - [c1]Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang:
Deep Adversarial Canonical Correlation Analysis. SDM 2020: 352-360 - [i5]Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR abs/2003.00653 (2020) - [i4]Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR abs/2005.06149 (2020) - [i3]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR abs/2009.01672 (2020) - [i2]Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang:
To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR abs/2010.06121 (2020)
2010 – 2019
- 2019
- [i1]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR abs/1909.08072 (2019)
Coauthor Index
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