Publications

2026

  1. ICLR
    When Flatness Does (Not) Guarantee Adversarial Robustness
    Nils Philipp Walter, Linara Adilova, Jilles Vreeken, and Michael Kamp
    In The Fourteenth International Conference on Learning Representations, 2026

2025

  1. NeurIPS
    Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
    Sascha Xu, Nils Philipp Walter, and Jilles Vreeken
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  2. arXiv
    Soft Instruction De-escalation Defense
    Nils Philipp Walter, Chawin Sitawarin, Jamie Hayes, David Stutz, and 1 more author
    arXiv preprint arXiv:2510.21057, 2025
  3. arXiv
    Hidden in Plain Sight – Class Competition Focuses Attribution Maps
    Nils Philipp Walter, Jilles Vreeken, and Jonas Fischer
    arXiv preprint arXiv:2503.07346, 2025

2024

  1. arXiv
    The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
    Nils Philipp Walter, Linara Adilova, Jilles Vreeken, and Michael Kamp
    arXiv preprint arXiv:2405.16918, 2024
  2. ICML
    Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence
    Sascha Xu, Nils Philipp Walter, Janis Kalofolias, and Jilles Vreeken
    In Proceedings of the International Conference on Machine Learning (ICML), 2024
  3. AAAI
    Finding Interpretable Class-Specific Patterns through Efficient Neural Search
    Nils Philipp Walter, Jonas Fischer, and Jilles Vreeken
    In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, 2024

2022

  1. CVPR
    On Fragile Features and Batch Normalization in Adversarial Training
    Nils Philipp Walter, David Stutz, and Bernt Schiele
    arXiv preprint arXiv:2204.12393, 2022