Bio: I am a faculty member at CISPA Helmholtz Center for Information Security, where I lead the AIR-ML Lab. Prior to this, I earned my PhD in Computer Science at the University of Virginia, where I was advised by Prof. David Evans. I also hold an MS degree in Statistics from the University of Virginia and a BS degree in Mathematics and Applied Mathematics from Tsinghua University. I am a member of the European Laboratory for Learning and Intelligent Systems, affiliated with ELLIS Unit Saarbrücken.

Research Interest: My research spans a broad range of topics in machine learning (ML), with a primary focus on trustworthy AI, encompassing robustness, safety, privacy, bias, and interpretability. I’m also interested in deep learning theory, generative modeling, and optimization. Ultimately, my goal is to develop principled adversarial ML approaches to tackle the fundamental challenges in building reliable and trustworthy AI systems.

I am always looking for self-motivated students interested in machine learning research, including PhD students, HiWis, intern and visiting students. Check my recent publications and our lab website to learn more about the current focus and available positions.

Publications

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(2025). Generalizable Targeted Data Poisoning against Varying Physical Objects. ArXiv.

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(2025). Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing. ICML 2025.

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