Lingzhi Yuan

I’m currently a first year PhD Student in Computer Science at University of Maryland (UMD), advised by Professor Furong Huang. Before that, I obtained my BEng degree at Zhejiang University majoring in Automation. I was also a research internship student during the summer of 2024 at University of Chicago (UChi), Secure Learning Lab advised by Professor Bo Li. I was a research student at USSLAB advised by Professor Yanjiao Chen and Professor Xiaoyu Ji.

During my undergraduate studies, I was 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.

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