World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
22975
World Ranking
1851
National Ranking
945

Overview

Hany Farid is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Computer Science, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Cognitive Neuroscience, and Archeology.

The scientist's work covers a range of topics, including:

  • Face recognition and analysis
  • Digital Media Forensic Detection
  • Misinformation and Its Impacts
  • Generative Adversarial Networks and Image Synthesis
  • Hate Speech and Cyberbullying Detection
  • Face Recognition and Perception
  • Speech Recognition and Synthesis

Recent papers by Hany Farid include:

  • "Art and the science of generative AI," 2023, published in Science
  • "AI-synthesized faces are indistinguishable from real faces and more trustworthy," 2022, Proceedings of the National Academy of Sciences
  • "Creating, Using, Misusing, and Detecting Deep Fakes," 2022, Journal of Online Trust and Safety
  • "A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos," 2020, arXiv (Cornell University)
  • "An Overview of Perceptual Hashing," 2021, Journal of Online Trust and Safety

Frequent co-authors who have contributed to multiple publications with Farid include:

  • Sophie J. Nightingale
  • Sarah Barrington
  • Matyáš Boháček
  • Emily A. Cooper
  • Shruti Agarwal

The scientist has published extensively in several venues, with a prominent presence in:

  • arXiv (Cornell University)
  • Journal of Vision
  • Proceedings of the National Academy of Sciences
  • Journal of Online Trust and Safety
  • Scientific Reports

Best Publications

  • Image forgery detection

    H. Farid

  • Exposing digital forgeries by detecting traces of resampling

    A.C. Popescu;H. Farid

  • The accuracy, fairness, and limits of predicting recidivism.

    Julia Dressel;Hany Farid

  • Exposing Digital Forgeries by Detecting Duplicated Image Regions

    Alin C Popescu;Hany Farid

  • Detecting hidden messages using higher-order statistics and support vector machines

    Siwei Lyu;Hany Farid

  • Exposing digital forgeries in color filter array interpolated images

    A.C. Popescu;H. Farid

  • Statistical tools for digital forensics

    Alin C. Popescu;Hany Farid

  • Exposing Digital Forgeries From JPEG Ghosts

    H. Farid

  • Exposing digital forgeries by detecting inconsistencies in lighting

    Micah K. Johnson;Hany Farid

  • Steganalysis using higher-order image statistics

    S. Lyu;H. Farid

  • Detecting hidden messages using higher-order statistical models

    H. Farid

  • Blind inverse gamma correction

    H. Farid

  • Exposing Digital Forgeries in Complex Lighting Environments

    M.K. Johnson;H. Farid

  • Exposing digital forgeries in video by detecting double MPEG compression

    Weihong Wang;Hany Farid

  • How realistic is photorealistic

    S. Lyu;H. Farid

  • Protecting World Leaders Against Deep Fakes

    Shruti Agarwal;Hany Farid;Yuming Gu;Mingming He

  • Exposing digital forgeries through chromatic aberration

    Micah K. Johnson;Hany Farid

  • Higher-order Wavelet Statistics and their Application to Digital Forensics

    Hany Farid;Siwei Lyu

  • A computer-assisted system for photographic mark-recapture analysis

    Douglas T. Bolger;Thomas A. Morrison;Bennet Vance;Derek Lee

  • Elastic registration in the presence of intensity variations

    S. Periaswamy;H. Farid

Frequent Co-Authors

Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Eero P. Simoncelli
Eero P. Simoncelli New York University
Keith D. Paulsen
Keith D. Paulsen Dartmouth College
James F. O'Brien
James F. O'Brien University of California, Berkeley
Arjun M. Heimsath
Arjun M. Heimsath Arizona State University
Li Shen
Li Shen University of Pennsylvania
Don W. King
Don W. King Augusta University
Alexander I. Tröster
Alexander I. Tröster Barrow Neurological Institute
Nicholas Carlini
Nicholas Carlini Google (United States)

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