Yuping Lin

Yuping Lin

Computer Science PhD student in MSU

About me

I’m a Computer Science PhD student at the DSE Lab of Michigan State University, advised by Prof. Jiliang Tang.

If you’d like to get in touch, feel free to email me at linyupin [#at#] msu [#dot#] edu.

Research Area

Security in Large Language Models (LLMs), including the discovery of new security vulnerabilities associated with LLMs, the design, development, and evaluation of new LLM-focused attacks, and the development of robust solutions to safeguard LLMs.

Education

  • Ph.D. in Computer Science (2023-Present)
    • Michigan State University (MSU)
    • Advisor: Professor Jiliang Tang
    • Research Area: Safety in Large Language Models, Trustworthy AI, Natural Language Processing
  • M.S. in Electronic and Computer Engineering (2022-2023)
    • University of Massachusetts, Amherst (UMass Amherst)
    • Advisor: Professor Tongping Liu
    • Research Area: Machine Learning Model Compression
  • B.Eng. in Information Security (2017-2021)
    • University of Electronic and Science Technology of China (UESTC)

Publications and Preprints

  • Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang. Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. NAACL 2025 [arxiv]
  • Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang. FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explorations Newsletter 2025 [proceeding]
  • Pengfei He, Yuping Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu. Red-Teaming LLM Multi-Agent Systems via Communication Attacks. Preprint [arxiv]
  • Yuping Lin*, Zidi Xiong*, Wenya Xie*, Pengfei He, Jiliang Tang, Himabindu Lakkaraju, Zhen Xiang. Towards Optimal Memory Management: Investigating Experience-Following Behavior of Large Language Model Agents.
  • Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu. Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization. Preprint [arxiv]
  • Yuping Lin*, Pengfei He*, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang. Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP 2024 [proceeding]

Teaching

  • Spring 2025, Teaching Assistant, CSE 335 Object-oriented Software Development
  • Fall 2024, Teaching Assistant, CSE 482 Big Data Analysis