Bitterwolf, Julian

8 publications

ICML 2023 In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf, Maximilian Müller, Matthias Hein

ICLRW 2023 In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf, Maximilian Mueller, Matthias Hein

ICML 2022 Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein

ICMLW 2022 Classifiers Should Do Well Even on Their Worst Classes Julian Bitterwolf, Alexander Meinke, Valentyn Boreiko, Matthias Hein

NeurIPS 2022 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free Alexander Meinke, Julian Bitterwolf, Matthias Hein

ECCV 2020 A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel

NeurIPS 2020 Certifiably Adversarially Robust Detection of Out-of-Distribution Data Julian Bitterwolf, Alexander Meinke, Matthias Hein

CVPRW 2019 Why ReLU Networks Yield High-Confidence Predictions Far Away from the Training Data and How to Mitigate the Problem Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf