Cheng, Minhao

39 publications

ICML 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin

ICLRW 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin

ICLR 2025 Is Your Multimodal Language Model Oversensitive to Safe Queries? Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh

ICML 2025 LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng

ICLRW 2025 Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao

NeurIPS 2025 Practical and Effective Code Watermarking for Large Language Models Zhimeng Guo, Minhao Cheng

ICML 2025 Safety Reasoning with Guidelines Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng

ICML 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You

NeurIPS 2025 Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You

ICLR 2025 The Crystal Ball Hypothesis in Diffusion Models: Anticipating Object Positions from Initial Noise Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng

ECCV 2024 A Watermark-Conditioned Diffusion Model for IP Protection Rui Min, Sen Li, Hongyang Chen, Minhao Cheng

ICLR 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective Kuan Li, YiWen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao

ICML 2024 One Prompt Is Not Enough: Automated Construction of a Mixture-of-Expert Prompts Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh

TMLR 2024 Trusted Aggregation (TAG): Backdoor Defense in Federated Learning Joseph Lavond, Minhao Cheng, Yao Li

NeurIPS 2024 Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng

ECCV 2024 When and How Do Negative Prompts Take Effect? Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh

CVPR 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation Bo Huang, Mingyang Chen, Yi Wang, Junda Lu, Minhao Cheng, Wei Wang

CVPR 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

ICML 2023 Identification of the Adversary from a Single Adversarial Example Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen

NeurIPS 2023 Towards Stable Backdoor Purification Through Feature Shift Tuning Rui Min, Zeyu Qin, Li Shen, Minhao Cheng

IJCAI 2022 CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh

ICLR 2022 Concurrent Adversarial Learning for Large-Batch Training Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You

NeurIPSW 2022 Defend Against Textual Backdoor Attacks by Token Substitution Xinglin Li, Yao Li, Minhao Cheng

NeurIPS 2022 Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh

NeurIPSW 2022 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

NeurIPSW 2022 Identification of the Adversary from a Single Adversarial Example Minhao Cheng, Rui Min

NeurIPS 2022 Random Sharpness-Aware Minimization Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You

NeurIPSW 2022 Trusted Aggregation (TAG): Model Filtering Backdoor Defense in Federated Learning Joseph Lavond, Minhao Cheng, Yao Li

ICLR 2021 DrNAS: Dirichlet Neural Architecture Search Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

ICCV 2021 RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

ICLR 2021 Rethinking Architecture Selection in Differentiable NAS Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh

AAAI 2021 Self-Progressing Robust Training Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das

AAAI 2020 Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh

ICLR 2020 Sign-OPT: A Query-Efficient Hard-Label Adversarial Attack Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh

ICLR 2019 Query-Efficient Hard-Label Black-Box Attack: An Optimization-Based Approach Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, JinFeng Yi, Cho-Jui Hsieh

IJCAI 2018 Distributed Primal-Dual Optimization for Non-Uniformly Distributed Data Minhao Cheng, Cho-Jui Hsieh

ICML 2018 Extreme Learning to Rank via Low Rank Assumption Minhao Cheng, Ian Davidson, Cho-Jui Hsieh

NeurIPS 2018 Learning from Group Comparisons: Exploiting Higher Order Interactions Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh

ECCV 2018 Towards Robust Neural Networks via Random Self-Ensemble Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh