Julian Bitterwolf

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Heuristic Functions

Robust Detection

Geometric Attacks

Top Venues

Publications

Julian Bitterwolf, Maximilian Müller, Matthias Hein
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation. ICML (2023)
Julian Bitterwolf, Maximilian Müller, Matthias Hein
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation. CoRR (2023)
Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. CoRR (2022)
Alexander Meinke, Julian Bitterwolf, Matthias Hein
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free. NeurIPS (2022)
Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. ICML (2022)
Daniel Heller, Patrick Ferber, Julian Bitterwolf, Matthias Hein, Jörg Hoffmann
Neural Network Heuristic Functions: Taking Confidence into Account. SOCS (2022)
Alexander Meinke, Julian Bitterwolf, Matthias Hein
Provably Robust Detection of Out-of-distribution Data (almost) for free. CoRR (2021)
Julian Bitterwolf, Alexander Meinke, Matthias Hein
Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data. CoRR (2020)
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. CoRR (2020)
Julian Bitterwolf, Alexander Meinke, Matthias Hein
Certifiably Adversarially Robust Detection of Out-of-Distribution Data. NeurIPS (2020)
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. ECCV (3) (2020)
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem. CVPR (2019)
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. CVPR Workshops (2019)
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. CoRR (2018)