- "GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs" (NeurIPS 2025)
- "DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy" (CCS 2025, Distinguished Paper Award)
- "Do Parameters Reveal More than Loss for Membership Inference?" (TMLR 2024)
- "What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?" (NeurIPS 2023)
- "Understanding Intrinsic Robustness using Label Uncertainty" (ICLR 2022)
Research Experience
Tenure-track faculty at CISPA Helmholtz Center for Information Security, leading the AIR-ML Lab. Previously, pursued a Ph.D. at the University of Virginia.
Education
- Ph.D. in Computer Science from the University of Virginia, advised by Prof. David Evans
- M.S. in Statistics from the University of Virginia
- B.S. in Mathematics and Applied Mathematics from Tsinghua University
Background
A tenure-track faculty member at CISPA Helmholtz Center for Information Security, leading the AIR-ML Lab. Research interests include machine learning (with a focus on trustworthy AI, robustness, safety, privacy, bias, and interpretability), deep learning theory, generative modeling, and optimization.
Miscellany
Looking for self-motivated students interested in machine learning research, including PhD students, HiWis, interns, and visiting students. For more information, please visit our lab website.