Lingzhi Yuan

Zhejiang University, College of Electrical Engineering.

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lingzhiyxp [at] gmail.com

yuan_lz [at] zju.edu.cn

Hangzhou, China

I’m currently a final year Undergraduate Student majoring in Automation at Zhejiang University (ZJU). I am also a research internship student at University of Chicago (UChi), Secure Learning Lab advised by Professor Bo Li. Before that, I was also a research student at USSLAB advised by Professor Yanjiao Chen and Professor Xiaoyu Ji.

Besides that, I am also a member of Intensive Training Honors Program of Innovation and Entrepreneurship (ITP) at Chu Kochen Honors College.

My current research primarily concentrates on Trustworthy Machine Learning, with a particular emphasis on enhancing the safety and robustness of advanced models. My research centers on exploring the vulnerability of cutting-edge ML models, especially Multi-modal Models (Text-to-Image model, VLM, Audio LLM etc.) and developing reliable defense mechanisms to safeguard their widespread deployments. By tackling these challenges, I aim to contribute to the development of AI technologies that are not only high-performing but also secure, transparent, and aligned with ethical standards.

You could refer to my resume for more detail.

Find other interesting things about me in this page🧩!

news

Jan 23, 2025 A paper accepted to ICLR 2025.
Nov 15, 2024 A paper submitted for CVPR 2025 review.
Oct 02, 2024 A paper submitted for ICLR 2025 review.
Mar 15, 2024 I became a research internship student at Secure Learning Lab, University of Chicago, supervised by Prof. Bo Li.
Apr 01, 2023 I became a research student at USSLAB supervised by Prof. Xiaoyu Ji and Prof. Yanjiao Chen.

selected publications

  1. promptguard_overview.jpg
    PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models
    Lingzhi Yuan, Xinfeng Li, Chejian Xu, and 7 more authors
    2025
    Submitted to CVPR 2025
  2. mmdt_overview.png
    MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
    Chejian Xu, Jiawei Zhang, Zhaorun Chen, and 22 more authors
    2025
    ICLR 2025