@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},}