Evading deepfake detectors via adversarial statistical consistency

Evading deepfake detectors via adversarial statistical consistency

In recent years, as various realistic face forgery techniques known as DeepFake improves by leaps and bounds, more and more DeepFake detection techniques have been proposed. These methods typically rely on detecting statistical differences between natural (i.e., real) and DeepFake-generated images i...

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Bibliographic Details
Main Authors: HOU, Yang, GUO, Qing, HUANG, Yihao, XIE, Xiaofei, MA, Lei, ZHAO, Jianjun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
degradation
deepfakes
frequency-domain analysis
closed box
detectors
forgery
pattern recognition
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/8230
https://ink.library.smu.edu.sg/context/sis_research/article/9233/viewcontent/evading_deepfake_detectors_va_adversarial_statistical_consistency.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8230
https://ink.library.smu.edu.sg/context/sis_research/article/9233/viewcontent/evading_deepfake_detectors_va_adversarial_statistical_consistency.pdf

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