| Authors | K. Beshkov, J. Verhellen and M. Lepperød |
| Title | Isometric Representations in Neural Networks Improve Robustness |
| Afilliation | Scientific Computing |
| Project(s) | bioAI – Biologically inspired Artificial Intelligence, Department of Numerical Analysis and Scientific Computing |
| Status | Submitted |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Journal | arxiv |
| Publisher | arXiv |
| Keywords | Cryptography and Security (cs.CR), FOS: Biological sciences, FOS: Computer and information sciences, Machine Learning (cs.LG), Neurons and Cognition (q-bio.NC) |
| URL | https://arxiv.org/abs/2211.01236 |
| DOI | 10.48550/ARXIV.2211.01236 |
| Citation Key | https://doi.org/10.48550/arxiv.2211.01236 |
