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
DREAM: Document Recognition with Explicit Adaptive Memory
Tianqi Zhao, Di Wu, Liangrui Peng, Yifan Huang, Kemeng Zhao, Shuo Li, Zhiyu Li, Yizhu Wang, Borui Jiang, Yuyang Li
To appear at Conference on Computer Vision and Pattern Recognition (CVPR), 2026
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