Whitening Black-Box Neural Networks. - Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz (CoRR, 2017)

Towards Reverse-Engineering Black-Box Neural Networks. - Seong Joon Oh; Max Augustin; Mario Fritz; Bernt Schiele (ICLR (Poster), 2018)

Adversarial Robustness on In- and Out-Distribution Improves Explainability. - Maximilian Augustin; Alexander Meinke; Matthias Hein 001 (ECCV (26), 2020)

Out-distribution aware Self-training in an Open World Setting. - Maximilian Augustin; Matthias Hein 001 (CoRR, 2020)

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. - Lucjan Hanzlik; Yang Zhang 016; Kathrin Grosse; Ahmed Salem 001; Maximilian Augustin; Michael Backes 001; Mario Fritz (CVPR Workshops, 2021)

Sparse Visual Counterfactual Explanations in Image Space. - Valentyn Boreiko; Maximilian Augustin; Francesco Croce; Philipp Berens; Matthias Hein 001 (GCPR, 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 001 (ICML, 2022)

Diffusion Visual Counterfactual Explanations. - Maximilian Augustin; Valentyn Boreiko; Francesco Croce; Matthias Hein 001 (NeurIPS, 2022)

Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. - Yannic Neuhaus; Maximilian Augustin; Valentyn Boreiko; Matthias Hein 001 (ICCV, 2023)

Analyzing and Explaining Image Classifiers via Diffusion Guidance. - Maximilian Augustin; Yannic Neuhaus; Matthias Hein 001 (CoRR, 2023)

DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations. - Maximilian Augustin; Yannic Neuhaus; Matthias Hein 001 (CVPR, 2024)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Sai Qian Zhang; Yuecheng Li; Barbara De Salvo (CoRR, 2024)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Yuecheng Li; Sai Qian Zhang; Barbara De Salvo (CVPR Workshops, 2025)

DASH: Detection and Assessment of Systematic Hallucinations of VLMs. - Maximilian Augustin; Yannic Neuhaus; Matthias Hein 001 (CoRR, 2025)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)