Multi-strategy adversarial learning for robust face forgery detection under heterogeneous and composite attacks

Multi-strategy adversarial learning for robust face forgery detection under heterogeneous and composite attacks

Face forgery detection has recently progressed to address the threat from image synthesis technology, although robust face forgery detection under heterogeneous attacks remains challenging. When forgers leverage image post-processing techniques to manipulate forged photos, recent detection methods e...

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Bibliographic Details
Main Authors: Xiyao Liu, Fengkai Dong, Xin Liao, Yuhan Guo, Jianbiao He, Jian Zhang, Gerald Schaefer, Hui Fang
Format: Default Conference proceeding
Published: 2024
Subjects:
Adversarial learning
Face forgery detection
Multi-strategy
Robustness
Online Access:https://hdl.handle.net/2134/25398265.v1
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https://hdl.handle.net/2134/25398265.v1

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