@inproceedings{walter2026when,title={When Flatness Does (Not) Guarantee Adversarial Robustness},author={Walter, Nils Philipp and Adilova, Linara and Vreeken, Jilles and Kamp, Michael},booktitle={The Fourteenth International Conference on Learning Representations},year={2026},organization={ICLR},}
2025
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
@inproceedings{walter2025neurules,title={Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go},author={Xu, Sascha and Walter, Nils Philipp and Vreeken, Jilles},booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems},year={2025},organization={NeurIPS},}
arXiv
Soft Instruction De-escalation Defense
Nils Philipp Walter, Chawin Sitawarin, Jamie Hayes, David Stutz, and 1 more author
@article{walter2025soft,title={Soft Instruction De-escalation Defense},author={Walter, Nils Philipp and Sitawarin, Chawin and Hayes, Jamie and Stutz, David and Shumailov, Ilia},journal={arXiv preprint arXiv:2510.21057},year={2025},organization={arXiv},}
arXiv
Hidden in Plain Sight – Class Competition Focuses Attribution Maps
Nils Philipp Walter, Jilles Vreeken, and Jonas Fischer
@article{walter2025var,title={Hidden in Plain Sight – Class Competition Focuses Attribution Maps},author={Walter, Nils Philipp and Vreeken, Jilles and Fischer, Jonas},journal={arXiv preprint arXiv:2503.07346},year={2025},organization={arXiv},}
2024
arXiv
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, and Michael Kamp
@article{walter2024uncanny,title={The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective},author={Walter, Nils Philipp and Adilova, Linara and Vreeken, Jilles and Kamp, Michael},journal={arXiv preprint arXiv:2405.16918},year={2024},organization={arXiv},}
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
@inproceedings{xu2024learningicml,title={Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence},author={Xu, Sascha and Walter, Nils Philipp and Kalofolias, Janis and Vreeken, Jilles},booktitle={Proceedings of the International Conference on Machine Learning (ICML)},year={2024},organization={PMLR},}
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
@inproceedings{walter2024finding,title={Finding Interpretable Class-Specific Patterns through Efficient Neural Search},author={Walter, Nils Philipp and Fischer, Jonas and Vreeken, Jilles},booktitle={Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence},year={2024},organization={AAAI},}
2022
CVPR
On Fragile Features and Batch Normalization in Adversarial Training
Nils Philipp Walter, David Stutz, and Bernt Schiele
@article{walter2022fragile,title={On Fragile Features and Batch Normalization in Adversarial Training},author={Walter, Nils Philipp and Stutz, David and Schiele, Bernt},journal={arXiv preprint arXiv:2204.12393},year={2022},}