Xiao Zhang leads the AIR-ML lab at CISPA Helmholtz Center for Information Security, Saabrücken, Germany. He received his PhD degree in Computer Science from the University of Virginia. His 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. He is also interested in deep learning theory, generative modeling, and optimization, with applications across vision, language, biomedicine, and cybersecurity. Ultimately, he aims to develop principled adversarial ML approaches to tackle the fundamental challenges in building reliable and trustworthy AI systems.

Interests
  • Adversarial Machine Learning
  • Deep Learning Theory
  • Generative AI
  • Security & Privacy
  • Optimization
Education
  • PhD in Computer Science, 2017–2022

    University of Virginia

  • MSc in Statistics, 2015–2017

    University of Virginia

  • BSc in Mathematics and Applied Mathematics, 2011–2015

    Tsinghua University