Yan Scholten

Technical University of Munich
Department of Computer Science - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 00.11.065
E-Mail: scholten [at] in.tum.de
Website: yascho.github.io

Research Interests

  • Robust Machine Learning
  • Machine Learning on Graphs

Selected Publications

Full list on Google Scholar

  • Hierarchical Randomized Smoothing
    Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
    Conference on Neural Information Processing Systems (NeurIPS), 2023
    [PDF | Project page | Code]
  • (Provable) Adversarial Robustness for Group Equivariant Tasks:
    Graphs, Point Clouds, Molecules, and More

    Jan Schuchardt, Yan Scholten, Stephan Günnemann
    Conference on Neural Information Processing Systems (NeurIPS), 2023
    [PDF | Project page]
  • Assessing Robustness via Score-Based Adversarial Image Generation
    Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann
    [Preprint], 2023
  • Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
    Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
    Conference on Neural Information Processing Systems (NeurIPS), 2022
    [ PDF | Project page | Code ]

Education

  • 2019-2022: M.Sc. Informatics - Technical University of Munich (passed with high distinction)
  • 2015-2019: B.Sc. Computer Science - Paderborn University (passed with distinction)

Academic Honors and Awards

  • 2023: Admission to the Konrad Zuse School of Excellence in Reliable AI
  • 2019: Deutschlandstipendium awarded by the Technical University of Munich
  • 2018: RISE worldwide scholarship awarded by DAAD
  • 2018: Deutschlandstipendium awarded by Studienfonds OWL