| 2025 | WACV | Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes. | Poulami Sinhamahapatra, Franziska Schwaiger, Shirsha Bose, Huiyu Wang, Karsten Roscher, Stephan Gnnemann |
| 2024 | CVPR | Understanding ReLU Network Robustness Through Test Set Certification Performance. | Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Gnnemann |
| 2024 | CVPR | Towards Engineered Safe AI with Modular Concept Models. | Lena Heidemann, Iwo Kurzidem, Maureen Monnet, Karsten Roscher, Stephan Gnnemann |
| 2024 | SAC | Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems. | Tom Haider, Karsten Roscher, Benjamin Herd, Felippe Schmoeller Roza, Simon Burton |
| 2023 | AAAI | Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning. | Dirk Eilers, Simon Burton, Felippe Schmoeller da Roza, Karsten Roscher |
| 2023 | AAAI | Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. | Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher |
| 2023 | WACV | Concept Correlation and Its Effects on Concept-Based Models. | Lena Heidemann, Maureen Monnet, Karsten Roscher |
| 2022 | AAAI | Beyond Test Accuracy: The Effects of Model Compression on CNNs. | Adrian Schwaiger, Kristian Schwienbacher, Karsten Roscher |
| 2022 | AAAI | Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. | Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Gnnemann |
| 2022 | ICMLA | Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. | Felippe Schmoeller Roza, Hassan Rasheed, Karsten Roscher, Xiangyu Ning, Stephan Gnnemann |
| 2021 | AAAI | From Black-box to White-box: Examining Confidence Calibration under different Conditions. | Franziska Schwaiger, Maximilian Henne, Fabian Kppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff |
| 2021 | BMVC | OODformer: Out-Of-Distribution Detection Transformer. | Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Gnnemann, Volker Tresp |
| 2021 | IJCAI | Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. | Tom Haider, Felippe Schmoeller Roza, Dirk Eilers, Karsten Roscher, Stephan Gnnemann |
| 2021 | IJCAI | Measuring Ensemble Diversity and Its Effects on Model Robustness. | Lena Heidemann, Adrian Schwaiger, Karsten Roscher |
| 2020 | AAAI | Benchmarking Uncertainty Estimation Methods for Deep Learning With Safety-Related Metrics. | Maximilian Henne, Adrian Schwaiger, Karsten Roscher, Gereon Weiss |
| 2020 | ECCV | Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection. | Felippe Schmoeller Roza, Maximilian Henne, Karsten Roscher, Stephan Gnnemann |
| 2020 | IJCAI | Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? | Adrian Schwaiger, Poulami Sinhamahapatra, Jens Gansloser, Karsten Roscher |
| 2018 | VEHITS | Time-controlled Neighborhood-driven Policy-based Network Selection Algorithm for Message Dissemination in Hybrid Vehicular Networks. | Oleg Oleinichenko, Yagmur Sevilmis, Karsten Roscher, Josef Jiru |
| 2017 | VTC | Know Thy Neighbor - A Data-Driven Approach to Neighborhood Estimation in VANETs. | Karsten Roscher, Thomas Nitsche, Rudi Knorr |
| 2016 | ICISSP | Efficient Authorization Authority Certificate Distribution in VANETs. | Sebastian Bittl, Karsten Roscher |
| 2016 | ICISSP | Efficient Distribution of Certificate Chains in VANETs. | Sebastian Bittl, Karsten Roscher |