Forensic Symmetry for DeepFakes

In this paper, we propose a new DeepFakes forensics approach called forensic symmetry, which determines whether two symmetrical face patches contain the same or different natural features. To do this, we propose a multi-stream learning structure composed of two feature extractors. The first feature...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2023, Vol.18, p.1095-1110
Main Authors: Li, Gen, Zhao, Xianfeng, Cao, Yun
Format: Article
Language:English
Subjects:
Algorithms
Computational modeling
Deception
Deepfakes
DeepFakes forensics
face symmetry detection
Faces
Feature extraction
Forensics
heuristic prediction
Hyperspaces
multi-margin loss
multi-stream learning
Prediction algorithms
Similarity
Symmetry
Visualization
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