Privacy preservation through makeup transfer for facial feature obfuscation
Automated facial recognition can infer sensitive attributes from facial images without consent, posing substantial privacy risks. Existing adversarial perturbation methods often degrade visual fidelity and compromise identity utility. We propose makeup-transfer obfuscation GAN (MTO-GAN), which uses...
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Published in | The Journal of supercomputing Vol. 81; no. 13 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer Nature B.V
21.08.2025
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Subjects | |
Online Access | Get full text |
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