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2020 – today
- 2025
[i9]Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang:
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. CoRR abs/2502.13996 (2025)- [i8]Zixiang Xu, Yanbo Wang, Yue Huang, Jiayi Ye, Haomin Zhuang, Zirui Song, Lang Gao, Chenxi Wang, Zhaorun Chen, Yujun Zhou, Sixian Li, Wang Pan, Yue Zhao, Jieyu Zhao, Xiangliang Zhang, Xiuying Chen:
SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. CoRR abs/2505.23713 (2025) - [i7]Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang:
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. CoRR abs/2506.04810 (2025) - 2024
- [c4]Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao
, Xiangliang Zhang:
Defending Jailbreak Prompts via In-Context Adversarial Game. EMNLP 2024: 20084-20105 - [c3]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR 2024 - [c2]Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang:
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. ICML 2024 - [i6]Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang:
Defending Jailbreak Prompts via In-Context Adversarial Game. CoRR abs/2402.13148 (2024) - [i5]Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang:
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR abs/2410.23426 (2024) - [i4]Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang:
UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS. CoRR abs/2411.18797 (2024) - 2023
- [c1]Haomin Zhuang, Yihua Zhang, Sijia Liu:
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CVPR Workshops 2023: 2385-2392 - [i3]Haomin Zhuang, Yihua Zhang, Sijia Liu:
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CoRR abs/2303.16378 (2023) - [i2]Zhaoming Kong, Fangxi Deng, Haomin Zhuang, Xiaowei Yang, Jun Yu, Lifang He:
A Comparison of Image Denoising Methods. CoRR abs/2304.08990 (2023) - [i1]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR abs/2308.04466 (2023)
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