| Graph Neural Networks for Modelling Traffic Participant Interaction F Diehl, T Brunner, MT Le, A Knoll 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 | 161 | 2019 |
| Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks T Brunner, F Diehl, MT Le, A Knoll The IEEE International Conference on Computer Vision (ICCV), 2019 | 147 | 2019 |
| Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications MT Le, F Diehl, T Brunner, A Knoll 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 99 | 2018 |
| Evaluating the Adversarial Robustness of Adaptive Test-time Defenses F Croce, S Gowal, T Brunner, E Shelhamer, M Hein, T Cemgil International Conference on Machine Learning (ICML), 2022 | 73 | 2022 |
| Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ... The NeurIPS'18 Competition, 129-153, 2020 | 66 | 2020 |
| Towards graph pooling by edge contraction F Diehl, T Brunner, MT Le, A Knoll ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019 | 60 | 2019 |
| Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving T Kessler, J Bernhard, M Buechel, K Esterle, P Hart, D Malovetz, MT Le, ... 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 | 31 | 2019 |
| Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks T Brunner, F Diehl, A Knoll The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 9 | 2019 |
| Leveraging Semantic Embeddings for Safety-Critical Applications T Brunner, F Diehl, M Truong Le, A Knoll The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 6 | 2019 |
