Cited by 12Digital Media Forensic DetectionAdvanced Steganography and Watermarking TechniquesBenford’s Law and Fraud Detection

The DOI matches its Crossref record.

Fake Photos

Farid, Hany·2019·The MIT Press eBooks

Abstract

A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Stalin, Mao, Hitler, Mussolini, and other dictators routinely doctored photographs so that the images aligned with their messages. They erased people who were there, added people who were not, and manipulated backgrounds. They knew if they changed the visual record, they could change history. Once, altering images required hours in the darkroom; today, it can be done with a keyboard and mouse. Because photographs are so easily faked, fake photos are everywhere—supermarket tabloids, fashion magazines, political ads, and social media. How can we tell if an image is real or false? In this volume in the MIT Press Essential Knowledge series, Hany Farid offers a concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Farid, an expert in photo forensics, has spent two decades developing techniques for authenticating digital images. These techniques model the entire image-creation process in order to find the digital disruption introduced by manipulation of the image. Each section of the book describes a different technique for analyzing an image, beginning with those requiring minimal technical expertise and advancing to those at intermediate and higher levels. There are techniques for, among other things, reverse image searches, metadata analysis, finding image imperfections introduced by JPEG compression, image cloning, tracing pixel patterns, and detecting images that are computer generated. In each section, Farid describes the techniques, explains when they should be applied, and offers examples of image analysis.

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Integrity signals

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Crossref · 10.7551/mitpress/11736.001.0001

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  • Traditional digital media forensics often rely on image metadata that are not available for many of today's most concerning deepfakes, which typically appear first on social media platforms stripped of such metadata.

    “traditional digital media forensics, which often rely on image metadata (14) that are not available for many of today’s most concerning deepfakes, which typically appear first on social media platforms stripped of such metadata (15, 16).”

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Metadata

Authors
Farid, H.
Corresponding author
Farid, Hany
Venue
The MIT Press eBooks
Publisher
The MIT Press
Published
2019-09-10
OpenAlex
W4244890069
Cited by
11
References
0
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 1
FWCI
1.00
Type
book
Language
en
Open access
closed
Locations
The MIT Press eBooks (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Benford’s Law and Fraud Detection
Keywords
image forgery detection, fake images, digital image authentication, JPEG compression artifacts, image cloning, reverse image search, image forensics

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