My name is Xiaogeng Liu, currently a first-year Ph.D. student in Informarion Science at the University of Wisconsin, Madison. I am honored to conduct my research under the esteemed guidance of Professor Chaowei Xiao, who specializes in security, privacy, and machine learning, with the goal of building socially responsible machine learning systems. I obtained my Master’s degree from Huazhong University of Science and Technology in 2023, and was fortunate to be a member of TAI group, mentored by Professor Shengshan Hu.

My research interests lie in trustworthy AI, especially the robustness of machine learning models that emphasizes the model’s ability to maintain performance and resist any kind of attacks or unexpected inputs. I am always open to collaboration and the exchange of ideas. If you’d like to discuss potential research opportunities or simply connect, please don’t hesitate to reach out to me at xiaogeng.liu@wisc.edu

News

• [2024-02] One paper is accepted by USENIX Security 2024, thanks for all of my collaborators. "Don’t Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models" Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, Ning Zhang.
• [2024-01] One paper is accepted by ICLR 2024, thanks for all of my collaborators. "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models" Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao.
• [2023-07] One paper is accepted by S&P 2024, thanks for all of my collaborators. "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability" Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin.