| 2025 | CVPR | Datasets for Valence and Arousal Inference: A Survey. | Helen Schneider, Svetlana Pavlitska, Helen Gremmelmaier, Marius Zllner |
| 2025 | ESORICS | Short Paper: Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception. | Svetlana Pavlitska, Christopher Gerking, J. Marius Zllner |
| 2025 | ICCV | DEAP DIVE: Dataset Investigation with Vision Transformers for EEG Evaluation. | Annemarie Hoffsornmer, Helen Schneider, Svetlana Pavlitska, Johann Marius Zllner |
| 2025 | ICCV | Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers. | Svetlana Pavlitska, Haixi Fan, Konstantin Ditschuneit, J. Marius Zllner |
| 2025 | ICCV | Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation. | Svetlana Pavlitska, Beyza Keskin, Alwin Fabender, Christian Hubschneider, J. Marius Zllner |
| 2025 | SMC | Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey. | Albert Schotschneider, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | BMVC | Hybrid Video Anomaly Detection for Autonomous Driving. | Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | BMVC | UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. | Daniel Bogdoll, Nol Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | CVPR | CAGE: Circumplex Affect Guided Expression Inference. | Niklas Wagner, Felix Mtzler, Samed Rouven Vossberg, Helen Schneider, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | DSD | Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. | Federico Nicols Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann |
| 2024 | ICMLA | Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation. | Svetlana Pavlitska, Enrico Eisen, J. Marius Zllner |
| 2024 | ICMLA | Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines. | Svetlana Pavlitska, Leopold Mller, J. Marius Zllner |
| 2024 | IJCNN | Iterative Filter Pruning for Concatenation-based CNN Architectures. | Svetlana Pavlitska, Oliver Bagge, Federico Nicols Peccia, Toghrul Mammadov, J. Marius Zllner |
| 2023 | IJCNN | Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. | Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zllner |