Xun Liu | Homepage

About me

Hi! I am Xun Liu, a first-year PhD student in Computer Science at University of Illinois Urbana-Champaign, advised by Prof. Bo Li. Before that, I developed my interest in Computer Science and Computational thinking in Olympiad in Informatics (OI).

My current research interest lies in Trustworthy Machine Learning, especially in Large Language Models (LLMs) and LLM-based Agent Systems. Surrounding this topic, my research explores adversarial attack, red-teaming and alignment.

Whatever my future endeavors are, I shall steadfastly view the integration of technology and humanities as my life's mission. In a world increasingly dominated by digital advancements, I believe that preserving the essence of human culture and values is paramount. My journey will be dedicated to harmonizing the precision and innovation of technology with the depth and insight of the humanities. Of course, this vision presents a long road ahead, not just for me personally, but also for the academic and industrial worlds.

Education

Ph.D. in Computer Science
University of Illinois Urbana-Champaign
Aug. 2025 – Present
B.S. in Cybersecurity
School of Cyber Security, University of Chinese Academy of Sciences
Aug. 2021 – Jun. 2025

Publications and Preprints

^* denotes equal contribution.

arXiv 2026
DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
Zhaorun Chen^*, Xun Liu^*, Haibo Tong^*, Chengquan Guo^*, Yuzhou Nie^*, Jiawei Zhang^*, Mintong Kang^*, Chejian Xu^*, Qichang Liu^*, Xiaogeng Liu^*, Tianneng Shi^*, Chaowei Xiao, Sanmi Koyejo, Percy Liang, Wenbo Guo, Dawn Song, Bo Li.
arXiv preprint, 2026
paper code website
ICLR 2026
ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
Zhaorun Chen^*, Xun Liu^*, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li.
International Conference on Learning Representations (ICLR), 2026
paper website
NeurIPS 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo^*, Xun Liu^*, Chulin Xie^*, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li.
Conference on Neural Information Processing Systems (NeurIPS), 2024
paper code website poster
ACL 2024
🦋🌪 The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng.
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
paper code website

Industry Experience

Tongyi Lab
Research Intern, Co-evolving Agent Harness with Foundation Language Models.
Jun. 2026 – Aug. 2026
Bytedance
Research Intern, Safety Reasoning Post-training of Foundation Language Models.
Jun. 2025 – Aug. 2025
Meituan
Research Intern, Post-training on Foundation Language Models.
Jan. 2025 – May 2025

Research Experience

University of Illinois Urbana-Champaign
Student Intern, advised by Prof. Bo Li.
Feb. 2024 – Dec. 2024
University of Chinese Academy of Sciences
Research Assistant, advised by Prof. Fei Sun.
Sep. 2023 – Feb. 2024