| Knockoff Nets: Stealing Functionality of Black-Box Models T Orekondy, B Schiele, M Fritz Computer Vision and Pattern Recognition (CVPR), 2019 | 677 | 2019 |
| Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks T Orekondy, B Schiele, M Fritz International Conference on Learning Representations (ICLR), 2020 | 217 | 2020 |
| GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators D Chen, T Orekondy, M Fritz Advances in Neural Information Processing Systems (NeurIPS), 2020 | 200 | 2020 |
| Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images T Orekondy, B Schiele, M Fritz The IEEE International Conference on Computer Vision (ICCV), 2017 | 182 | 2017 |
| Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images T Orekondy, M Fritz, B Schiele Computer Vision and Pattern Recognition (CVPR), 2018 | 106 | 2018 |
| Gradient-Leaks: Understanding Deanonymization in Federated Learning T Orekondy, SJ Oh, Y Zhang, B Schiele, M Fritz NeurIPS Workshop on Federated Learning for Data Privacy and Confidentiality, 2019 | 75* | 2019 |
| Differential privacy defenses and sampling attacks for membership inference S Rahimian, T Orekondy, M Fritz ACM Workshop on Artificial Intelligence and Security (AISec), 193-202, 2021 | 36 | 2021 |
| Sampling attacks: Amplification of membership inference attacks by repeated queries S Rahimian, T Orekondy, M Fritz arXiv preprint arXiv:2009.00395, 2020 | 35 | 2020 |
| WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations T Orekondy, P Kumar, S Kadambi, H Ye, J Soriaga, A Behboodi International Conference on Learning Representations (ICLR), 2023 | 34 | 2023 |
| Infoscrub: Towards attribute privacy by targeted obfuscation HP Wang, T Orekondy, M Fritz Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 27 | 2021 |
| MIMO-GAN: Generative MIMO Channel Modeling T Orekondy, A Behboodi, JB Soriaga IEEE International Conference on Communications (ICC), 2022 | 26 | 2022 |
| Transformer-based neural surrogate for link-level path loss prediction from variable-sized maps TM Hehn, T Orekondy, O Shental, A Behboodi, J Bucheli, A Doshi, ... GLOBECOM 2023-2023 IEEE Global Communications Conference, 4804-4809, 2023 | 7 | 2023 |
| Generative wireless channel modeling T Orekondy, A Behboodi, JB Soriaga, M Welling US Patent App. 18/054,896, 2023 | 1 | 2023 |
| Pathloss prediction using a machine learning component TM Hehn, T Orekondy, A Behboodi, O Shental, T Yoo, J Namgoong, ... US Patent App. 18/584,572, 2024 | | 2024 |
| Adaptive acquisition for compressed sensing G Silvestri, FV Massoli, T Orekondy, A Behboodi, JB Soriaga US Patent App. 18/475,995, 2024 | | 2024 |
| Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems G Silvestri, FV Massoli, T Orekondy, A Abdi, A Behboodi arXiv preprint arXiv:2407.07794, 2024 | | 2024 |
| Differentiable and Learnable Wireless Simulation with Geometric Transformers T Hehn, M Peschl, T Orekondy, A Behboodi, J Brehmer arXiv preprint arXiv:2406.14995, 2024 | | 2024 |
| Simulating, Fast and Slow: Learning Policies for Black-Box Optimization FV Massoli, T Bakker, T Hehn, T Orekondy, A Behboodi arXiv preprint arXiv:2406.04261, 2024 | | 2024 |
| Simulating, Fast and Slow: Learning Policies for Black-Box Optimization F Valerio Massoli, T Bakker, T Hehn, T Orekondy, A Behboodi arXiv e-prints, arXiv: 2406.04261, 2024 | | 2024 |
| Probabilistic and Differentiable Wireless Simulation with Geometric Transformers T Hehn, M Peschl, T Orekondy, A Behboodi, J Brehmer | | 2024 |
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerificeret mail på cispa.de