Sizhe Chen

Sizhe Chen

CS Ph.D. Student, UC Berkeley

Sizhe Chen’s homepage

Biography

Hi! I am a CS Ph.D. student at the Department of EECS, UC Berkeley, where I am fortunately advised by Prof. David Wagner. I am part of the Wagner Lab, Security Group, and Berkeley AI Research. I got my M.Eng. and B.Eng. (Summa Cum Laude) from Shanghai Jiao Tong University with Prof. Xiaolin Huang. I also had a great time visiting UW, NEU, UCSC, and interning at Tencent, Meta FAIR. I was the chief director of three 1K-spectator concerts.

My research focuses on AI security in real-world applications. I am interested in behavior control of large language models for trustworthiness, e.g., prompt injection defense (StruQ, Jatmo) and rule-following (RuLES). See my CV or (previous) SoP for more of my work on trustworthy vision models. Feel free to drop me an email if you would like to chat on research and/or PhD application.

Selected Publications

  • StruQ: Defending Against Prompt Injection with Structured Queries
    Sizhe Chen, Julien Piet, Chawin Sitawarin, David Wagner
    [arXiv’24], [Code]
  • One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
    Shutong Wu*, Sizhe Chen*, Cihang Xie, Xiaolin Huang
    [ICLR’23 (Spotlight)], [Code]
  • Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Attacks
    Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
    [NeurIPS’22], [Code]
  • Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
    Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang
    [TPAMI’22], [Code]
  • Subspace Adversarial Training
    Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
    [CVPR’22 (Oral)], [Code]

Services

  • Conf. Reviewer: CCS’24, NeurIPS’23, ICML’24, ICLR’23/24, CVPR’23/24, ICCV’23, ECCV’22/24
  • Journal Reviewer: IEEE TPAMI, Machine Learning, Pattern Recognition
  • UC Berkeley CS Faculty Hiring Committee: 2024

Awards

  • Departmental Fellowship of EECS, UC Berkeley, 2023.
  • Travel Support in NeurIPS’22, ICLR’23.
  • National Scholarship (Top 0.2% national-wide), 2021 and 2022.
  • Extraordinary Bachelor’s Thesis (Top 1% in Shanghai Jiao Tong University), 2020.