| 2026 | ICPR | Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs. | Pius Horn, Janis Keuper |
| 2026 | ICPR | Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications. | Janis Keuper |
| 2025 | CVPR | A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification. | Bianca Lamm, Janis Keuper |
| 2025 | CVPR | PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? | Martin Spitznagel, Jan Vaillant, Janis Keuper |
| 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 |
| 2024 | CVPR | Can Biases in ImageNet Models Explain Generalization? | Paul Gavrikov, Janis Keuper |
| 2024 | ECCV | Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets. | Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper |
| 2024 | ECCV | Top-GAP: Integrating Size Priors in CNNs for More Interpretability, Robustness, and Bias Mitigation. | Lars Nieradzik, Henrike Stephani, Janis Keuper |
| 2024 | IJCNN | Adversarial Examples are Misaligned in Diffusion Model Manifolds. | Peter Lorenz, Ricard Durall, Janis Keuper |
| 2024 | VISIGRAPP | Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. | Lars Nieradzik, Henrike Stephani, Jrdis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper |
| 2023 | CVPR | An Extended Study of Human-like Behavior under Adversarial Training. | Paul Gavrikov, Janis Keuper, Margret Keuper |
| 2022 | CVPR | Adversarial Robustness through the Lens of Convolutional Filters. | Paul Gavrikov, Janis Keuper |
| 2022 | CVPR | CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. | Paul Gavrikov, Janis Keuper |
| 2022 | ECCV | FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. | Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper |
| 2021 | BMVC | FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. | Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper |
| 2021 | ESANN | Sample efficient localization and stage prediction with autoencoders. | Sebastian Hoch, Sascha Lange, Janis Keuper |
| 2021 | IJCNN | SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. | Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper |
| 2021 | KI | Combining Transformer Generators with Convolutional Discriminators. | Ricard Durall, Stanislav Frolov, Jrn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper |
| 2020 | ACCV | A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. | Kalun Ho, Amirhossein Kardoost, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper |
| 2020 | CVPR | Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. | Ricard Durall, Margret Keuper, Janis Keuper |
| 2020 | ICPR | Local Facial Attribute Transfer through Inpainting. | Ricard Durall, Franz-Josef Pfreundt, Janis Keuper |
| 2020 | ICPR | Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. | Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper |
| 2019 | IVCNZ | Semi Few-Shot Attribute Translation. | Ricard Durall, Franz-Josef Pfreundt, Janis Keuper |
| 2019 | SC | GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. | Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger |
| 2019 | SC | Scalable Hyperparameter Optimization with Lazy Gaussian Processes. | Raju Ram, Sabine Mller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper |
| 2017 | SC | TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization. | Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper |
| 2016 | SC | Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability. | Janis Keuper, Franz-Josef Pfreundt |
| 2015 | SC | Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. | Janis Keuper, Franz-Josef Pfreundt |