| " Best-of-Many-Samples" Distribution Matching A Bhattacharyya, M Fritz, B Schiele arXiv preprint arXiv:1909.12598, 2019 | 4 | 2019 |
| {A4NT}: Author attribute anonymity by adversarial training of neural machine translation R Shetty, B Schiele, M Fritz 27th USENIX Security Symposium (USENIX Security 18), 1633-1650, 2018 | 101 | 2018 |
| {Fact-Saboteurs}: A Taxonomy of Evidence Manipulation Attacks against {Fact-Verification} Systems S Abdelnabi, M Fritz 32nd USENIX Security Symposium (USENIX Security 23), 6719-6736, 2023 | 4 | 2023 |
| {ML-Doctor}: Holistic risk assessment of inference attacks against machine learning models Y Liu, R Wen, X He, A Salem, Z Zhang, M Backes, E De Cristofaro, M Fritz, ... 31st USENIX Security Symposium (USENIX Security 22), 4525-4542, 2022 | 114 | 2022 |
| {UnGANable}: Defending against {GAN-based} face manipulation Z Li, N Yu, A Salem, M Backes, M Fritz, Y Zhang 32nd USENIX Security Symposium (USENIX Security 23), 7213-7230, 2023 | 16 | 2023 |
| {Updates-Leak}: Data set inference and reconstruction attacks in online learning A Salem, A Bhattacharya, M Backes, M Fritz, Y Zhang 29th USENIX security symposium (USENIX Security 20), 1291-1308, 2020 | 259 | 2020 |
| 7th ACM Computer Science in Cars Symposium December 5, 2023 Darmstadt University of Applied Sciences, Germany SN Spencer, B Brücher, C Krauß, M Fritz, HJ Hof, O Wasenmüller | | 2023 |
| A category-level 3d object dataset: Putting the kinect to work A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell Consumer depth cameras for computer vision: research topics and applications …, 2013 | 568 | 2013 |
| A domain based approach to social relation recognition Q Sun, B Schiele, M Fritz Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 123 | 2017 |
| A geometric approach to robotic laundry folding S Miller, J Van Den Berg, M Fritz, T Darrell, K Goldberg, P Abbeel The International Journal of Robotics Research 31 (2), 249-267, 2012 | 288 | 2012 |
| A hybrid model for identity obfuscation by face replacement Q Sun, A Tewari, W Xu, M Fritz, C Theobalt, B Schiele Proceedings of the European conference on computer vision (ECCV), 553-569, 2018 | 128 | 2018 |
| A Large-Scale Study of Phishing PDF Documents G Stivala, S Abdelnabi, A Mengascini, M Graziano, M Fritz, G Pellegrino arXiv e-prints, arXiv: 2308.01273, 2023 | | 2023 |
| A multi-world approach to question answering about real-world scenes based on uncertain input M Malinowski, M Fritz Advances in neural information processing systems 27, 2014 | 876 | 2014 |
| A pooling approach to modelling spatial relations for image retrieval and annotation M Malinowski, M Fritz arXiv preprint arXiv:1411.5190, 2014 | 36 | 2014 |
| A probabilistic model for recursive factorized image features S Karayev, M Fritz, S Fidler, T Darrell CVPR 2011, 401-408, 2011 | 9 | 2011 |
| A unified view of differentially private deep generative modeling D Chen, R Kerkouche, M Fritz arXiv preprint arXiv:2309.15696, 2023 | 2 | 2023 |
| Accurate and diverse sampling of sequences based on a “best of many” sample objective A Bhattacharyya, B Schiele, M Fritz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 122 | 2018 |
| Acquiring target stacking skills by goal-parameterized deep reinforcement learning W Li, J Bohg, M Fritz arXiv preprint arXiv:1711.00267, 2017 | 6 | 2017 |
| Active metric learning for object recognition S Ebert, M Fritz, B Schiele Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012 | 15 | 2012 |
| Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 3356 | 2010 |
