CERTIFIABLY ADVERSARIALLY ROBUST DETECTION OF OUT-OF-DISTRIBUTION DATA

von Bitterwolf, Julian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free

von Meinke, Alexander
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 39 of 50 (2023)

Breaking Down Out-Of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

von Bitterwolf, Julian
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 3 of 33 (2023)

A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions

von Rusak, Evgenia
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 3 (2020)