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Maximilian Augustin
Maximilian Augustin
Verified email at uni-tuebingen.de
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Mlcapsule: Guarded offline deployment of machine learning as a service
L Hanzlik, Y Zhang, K Grosse, A Salem, M Augustin, M Backes, M Fritz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1072021
Adversarial robustness on in-and out-distribution improves explainability
M Augustin, A Meinke, M Hein
European Conference on Computer Vision, 228-245, 2020
842020
Diffusion Visual Counterfactual Explanations
M Augustin, V Boreiko, F Croce, M Hein
NeurIPS 2022, 2022
412022
Sparse visual counterfactual explanations in image space
V Boreiko, M Augustin, F Croce, P Berens, M Hein
DAGM German Conference on Pattern Recognition, 133-148, 2022
222022
Breaking down out-of-distribution detection: Many methods based on ood training data estimate a combination of the same core quantities
J Bitterwolf, A Meinke, M Augustin, M Hein
International Conference on Machine Learning, 2041-2074, 2022
222022
Spurious features everywhere-large-scale detection of harmful spurious features in imagenet
Y Neuhaus, M Augustin, V Boreiko, M Hein
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
142023
Out-distribution aware self-training in an open world setting
M Augustin, M Hein
arXiv preprint arXiv:2012.12372, 2020
52020
Whitening black-box neural networks
SJ Oh, M Augustin, B Schiele, M Fritz
arXiv, 2017
32017
Revisiting out-of-distribution detection: A simple baseline is surprisingly effective
J Bitterwolf, A Meinke, M Augustin, M Hein
22021
Analyzing and Explaining Image Classifiers via Diffusion Guidance
M Augustin, Y Neuhaus, M Hein
arXiv preprint arXiv:2311.17833, 2023
12023
The Needle in the haystack: Out-distribution aware Self-training in an Open-World Setting
M Augustin, M Hein
12021
Spurious Features Everywhere-Large-Scale Detection of Harmful Spurious Features in ImageNet
M Hein, V Boreiko, M Augustin, Y Neuhaus
arXiv, 2023
2023
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