LAUSR

Artifacts-Disentangled Adversarial Learning for Deepfake Detection

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2 Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3217950

Abstract: Due to the development of facial manipulation technologies, the generated deepfake videos cause a severe trust crisis in society. Existing methods prove that effective extraction of the artifacts introduced during the forgery process is essential… read more here.

Keywords: artifacts disentangled; detection; adversarial learning; disentangled adversarial ... See more keywords