| The deepfake detection challenge (dfdc) dataset B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer arXiv preprint arXiv:2006.07397, 2020 | 828 | 2020 |
| The dee pfake detection challenge (DFDC) pre view dataset B Dolhansky arXiv preprint arXiv:1910.08854, 2019 | 597 | 2019 |
| Eye in-painting with exemplar generative adversarial networks B Dolhansky, CC Ferrer Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 153 | 2018 |
| Towards measuring fairness in ai: the casual conversations dataset C Hazirbas, J Bitton, B Dolhansky, J Pan, A Gordo, CC Ferrer IEEE Transactions on Biometrics, Behavior, and Identity Science 4 (3), 324-332, 2021 | 106 | 2021 |
| Adversarial threats to deepfake detection: A practical perspective P Neekhara, B Dolhansky, J Bitton, CC Ferrer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 98 | 2021 |
| Deep submodular functions: Definitions and learning BW Dolhansky, JA Bilmes Advances in Neural Information Processing Systems 29, 2016 | 48 | 2016 |
| Automatic image correction using machine learning CC Ferrer, B Dolhansky, TW Meyer, J Morton US Patent 10,388,002, 2019 | 36 | 2019 |
| The deepfake detection challenge (dfdc) dataset. arXiv 2020 B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer arXiv preprint arXiv:2006.07397, 2006 | 33 | 2006 |
| Exposing vulnerabilities of deepfake detection systems with robust attacks S Hussain, P Neekhara, B Dolhansky, J Bitton, CC Ferrer, J McAuley, ... Digital Threats: Research and Practice (DTRAP) 3 (3), 1-23, 2022 | 27 | 2022 |
| Adversarial collision attacks on image hashing functions B Dolhansky, CC Ferrer arXiv preprint arXiv:2011.09473, 2020 | 24 | 2020 |
| Casual conversations: A dataset for measuring fairness in ai C Hazirbas, J Bitton, B Dolhansky, J Pan, A Gordo, CC Ferrer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 20 | 2021 |
| The deepfake detection challenge (dfdc) preview dataset. arXiv 2019 B Dolhansky, R Howes, B Pflaum, N Baram, CC Ferrer arXiv preprint arXiv:1910.08854, 0 | 20 | |
| Teaching stem concepts through music technology and dsp YE Kim, AM Batula, R Migneco, P Richardson, B Dolhansky, D Grunberg, ... 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011 | 19 | 2011 |
| Relating perceptual and feature space invariances in music emotion recognition EM Schmidt, M Prockup, J Scott, B Dolhansky, B Morton, YE Kim 9th Int. Symp. Computer Music Modeling and Retrieval, London, UK, 2012 | 12 | 2012 |
| The DeepFake detection challenge dataset.(2020) B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer ArXiv: abs, 2006 | 12 | 2006 |
| Deep poisoning: Towards robust image data sharing against visual disclosure H Guo, B Dolhansky, E Hsin, P Dinh, CC Ferrer, S Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 11* | 2021 |
| Automated detection of tampered images B Dolhansky, CC Ferrer, EE Hsin US Patent 10,810,725, 2020 | 11 | 2020 |
| Deepfake detection challenge results: An open initiative to advance AI CC Ferrer, B Pflaum, J Pan, B Dolhansky, J Bitton, J Lu Meta AI, blog, June 12, 2020 | 10 | 2020 |
| Adversarial evaluation of multimodal models under realistic gray box assumption I Evtimov, R Howes, B Dolhansky, H Firooz, CC Ferrer arXiv preprint arXiv:2011.12902, 2020 | 9 | 2020 |
| Designing an expressive virtual percussion instrument B Dolhansky, A McPherson, YE Kim Proceedings of the 8th Sound and Music Computing Conference, Padova, Italy 69, 2011 | 9 | 2011 |
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