I am a senior undergraduate student at Tsinghua University majoring in Electronic Engineering. My research focuses on AI security, particularly developing robust defenses against emerging threats to AI systems. I am broadly interested in safety and security topics, including hallucination, interpretability, copyright protection, and reliable reasoning.
During Summer 2025, I worked at UC Berkeley with Prof. David Wagner and PhD student Sizhe Chen on defenses against prompt injection attacks. This work led to publications at SaTML 2026 and AISec@CCS 2025.
Prior to that, I was fortunate to work at UIUC with Prof. Gang Wang on leveraging LLM-based agents for explainable phishing detection, leading to a publication at SOUPS 2025.
I am applying to PhD programs for Fall 2026. Feel free to reach out via email for collaboration or opportunities!
Education
BEng in Electronic Engineering
Tsinghua University, Beijing, China
Sep. 2021 - Jun. 2026 (Expected)
Undergraduate Exchange in Computer Science
University of British Columbia (UBC), Vancouver, Canada
Sep. 2023 - Dec. 2023
Research Experience
Research Assistant - LLM Security
University of California Berkeley, CA, USA
June. 2025 - Sep. 2025
Advisor: Prof. David Wagner and PhD student Sizhe Chen (Prompt Injection Defense)
Research Assistant - AI4Security
University of Illinois Urbana-Champaign (UIUC), IL, USA
Jul. 2024 - Jan. 2025
Advisor: Prof. Gang Wang (Phishing Detection & LLM Agents)
Publications
Defending Against Prompt Injection With DataFilter
Yizhu Wang, Sizhe Chen, Raghad Alkhudair, Basel Alomair, David Wagner.
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2026