Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints

Cite

Text

Gritsch et al. "Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70362-1_20

Markdown

[Gritsch et al. "Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/gritsch2024ecmlpkdd-preserving/) doi:10.1007/978-3-031-70362-1_20

BibTeX

@inproceedings{gritsch2024ecmlpkdd-preserving,
  title     = {{Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints}},
  author    = {Gritsch, Jasmin Viktoria and Legenstein, Robert and Özdenizci, Ozan},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {337-354},
  doi       = {10.1007/978-3-031-70362-1_20},
  url       = {https://mlanthology.org/ecmlpkdd/2024/gritsch2024ecmlpkdd-preserving/}
}