A conditional GAN adds transferable, self-erasable semantic masks that break black-box face recognition while allowing a trusted partner to reconstruct the original face.
Dynamic training data dropout for robust deep face recognition,
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ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
A conditional GAN adds transferable, self-erasable semantic masks that break black-box face recognition while allowing a trusted partner to reconstruct the original face.