| Protecting World Leaders Against Deep Fakes. S Agarwal, H Farid, Y Gu, M He, K Nagano, H Li CVPR workshops 1, 38, 2019 | 702 | 2019 |
| Detecting deep-fake videos from appearance and behavior S Agarwal, H Farid, T El-Gaaly, SN Lim 2020 IEEE International Workshop on Information Forensics and Security (WIFS …, 2020 | 220 | 2020 |
| Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches S Agarwal, H Farid, O Fried, M Agrawala Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 200 | 2020 |
| Photo forensics from JPEG dimples S Agarwal, H Farid 2017 IEEE Workshop on Information Forensics and Security (WIFS), 1-6, 2017 | 87 | 2017 |
| Detecting Deep-Fake Videos From Aural and Oral Dynamics S Agarwal, H Farid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 64 | 2021 |
| A diverse large-scale dataset for evaluating rebroadcast attacks S Agarwal, W Fan, H Farid 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 46 | 2018 |
| RoSteALS: Robust Steganography using Autoencoder Latent Space T Bui, S Agarwal, N Yu, J Collomosse Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 44 | 2023 |
| Photo forensics from rounding artifacts S Agarwal, H Farid Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia …, 2020 | 28 | 2020 |
| Watch those words: Video falsification detection using word-conditioned facial motion S Agarwal, L Hu, E Ng, T Darrell, H Li, A Rohrbach Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 26 | 2023 |
| Synthetic faces: how perceptually convincing are they? S Nightingale, S Agarwal, E Härkönen, J Lehtinen, H Farid Journal of Vision 21 (9), 2015-2015, 2021 | 21 | 2021 |
| Perceptual and computational detection of face morphing SJ Nightingale, S Agarwal, H Farid Journal of Vision 21 (3), 4-4, 2021 | 16 | 2021 |
| Forensic reconstruction of severely degraded license plates B Lorch, S Agarwal, H Farid Electronic Imaging 31, 1-7, 2019 | 16 | 2019 |
| Deciphering severely degraded license plates S Agarwal, D Tran, L Torresani, H Farid Electronic Imaging 29, 138-143, 2017 | 16 | 2017 |
| Rebroadcast Attacks: Defenses, Reattacks, and Redefenses W Fan, S Agarwal, H Farid 2018 26th European Signal Processing Conference (EUSIPCO), 942-946, 2018 | 15 | 2018 |
| EKILA: Synthetic Media Provenance and Attribution for Generative Art K Balan, S Agarwal, S Jenni, A Parsons, A Gilbert, J Collomosse Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| TrustMark: Universal Watermarking for Arbitrary Resolution Images T Bui, S Agarwal, J Collomosse arXiv preprint arXiv:2311.18297, 2023 | 10 | 2023 |
| ProMark: Proactive Diffusion Watermarking for Causal Attribution V Asnani, J Collomosse, T Bui, X Liu, S Agarwal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer S Kamat, S Agarwal, T Darrell, A Rohrbach Proceedings of the IEEE/CVF International Conference on Computer Vision, 426-435, 2023 | 6 | 2023 |
| Self-Improving Diffusion Models with Synthetic Data S Alemohammad, AI Humayun, S Agarwal, J Collomosse, R Baraniuk arXiv preprint arXiv:2408.16333, 2024 | 2 | 2024 |
| An Evaluation of Forensic Facial Recognition J Norman, S Agarwal, H Farid arXiv preprint arXiv:2311.06145, 2023 | 2 | 2023 |
Hany FaridProfessor, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
