| 2025 | ICLR | Can We Talk Models Into Seeing the World Differently? | Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper |
| 2025 | WACV | FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training. | Tejaswini Medi, Steffen Jung, Margret Keuper |
| 2024 | ICML | CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks. | Shashank Agnihotri, Steffen Jung, Margret Keuper |
| 2023 | ICLR | Neural Architecture Design and Robustness: A Dataset. | Steffen Jung, Jovita Lukasik, Margret Keuper |
| 2022 | ECCV | FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. | Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper |
| 2022 | ECCV | Learning Where to Look - Generative NAS is Surprisingly Efficient. | Jovita Lukasik, Steffen Jung, Margret Keuper |
| 2021 | AAAI | Spectral Distribution Aware Image Generation. | Steffen Jung, Margret Keuper |
| 2020 | FUSION | Time-Dependent State Prediction for the Kalman Filter Based on Recurrent Neural Networks. | Steffen Jung, Isabel Schlangen, Alexander Charlish |
| 2019 | FUSION | Sequential Monte Carlo Filtering with Long Short-Term Memory Prediction. | Steffen Jung, Isabel Schlangen, Alexander Charlish |