| 2025 | CVPR | PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers. | Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Yuecheng Li, Sai Qian Zhang, Barbara De Salvo |
| 2025 | ICCV | DASH: Detection and Assessment of Systematic Hallucinations of VLMs. | Maximilian Augustin, Yannic Neuhaus, Matthias Hein |
| 2024 | CVPR | DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations. | Maximilian Augustin, Yannic Neuhaus, Matthias Hein |
| 2023 | ICCV | Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. | Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein |
| 2022 | ICML | 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 |
| 2021 | CVPR | MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. | Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz |
| 2020 | ECCV | Adversarial Robustness on In- and Out-Distribution Improves Explainability. | Maximilian Augustin, Alexander Meinke, Matthias Hein |