Farid, Hany

The accuracy, fairness, and limits of predicting recidivism

Dressel, J., & Farid, H. (2018) · Science Advances

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 1,071

Art and the science of generative AI

Epstein, Z., Hertzmann, A., the Investigators of Human Creativity, Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., et al. (2023) · Science

Art, Technology, and CultureTechnology's Impact on Media

Cited by 788

AI-synthesized faces are indistinguishable from real faces and more trustworthy

Nightingale, S. J., & Farid, H. (2022) · Proceedings of the National Academy of Sciences

Digital Media Forensic DetectionFace recognition and analysis

Cited by 397

Detecting Deep-Fake Videos from Appearance and Behavior

Agarwal, S., Farid, H., El-Gaaly, T., & Lim, S.-N. (2020) · 2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 242

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches

Agarwal, S., Farid, H., Fried, O., & Agrawala, M. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionSpeech and Audio Processing

Cited by 234

Evading Deepfake-Image Detectors with White- and Black-Box Attacks

Carlini, N., & Farid, H. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 170

An Overview of Perceptual Hashing

Farid, H. (2021) · Journal of Online Trust and Safety

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 70

Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms

Bohacek, M., & Farid, H. (2022) · Proceedings of the National Academy of Sciences

Digital Media Forensic DetectionBiometric Identification and Security

Cited by 45

Art and the science of generative AI: A deeper dive

Epstein, Z., Hertzmann, A., Herman, L., Mahari, R., Frank, M. R., Groh, M., Schroeder, H., Smith, A., Akten, M., Fjeld, J., et al. (2023) · arXiv

Art, Technology, and CultureEthics and Social Impacts of AI

Cited by 21

Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features

Barrington, S., Barua, R., Koorma, G., & Farid, H. (2023) · 2023 IEEE International Workshop on Information Forensics and Security (WIFS)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 17

Can people detect errors in shadows and reflections?

Nightingale, S. J., Wade, K. A., Farid, H., & Watson, D. G. (2019) · Attention, Perception, & Psychophysics

Digital Media Forensic DetectionVisual perception and processing mechanisms

Cited by 14

Fake Photos

Farid, H. (2019) · The MIT Press eBooks

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 11

The DeepSpeak Dataset

Barrington, S., Bohacek, M., & Farid, H. (2024) · arXiv

Digital Media Forensic DetectionSpeech Recognition and Synthesis

Cited by 9