Yuan, Zhuowen

7 publications

ICLR 2025 MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

ICML 2024 Fair Federated Learning via the Proportional Veto Core Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan, Bo Li, Ruta Mehta, Ariel D. Procaccia

ICML 2024 RigorLLM: Resilient Guardrails for Large Language Models Against Undesired Content Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li

ICML 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song

NeurIPS 2023 FedGame: A Game-Theoretic Defense Against Backdoor Attacks in Federated Learning Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

NeurIPS 2023 Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta

ECCV 2022 SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li