VLEED uses variational latent entropy estimation to separate categorical attributes from identity in face embeddings, achieving wider privacy-utility tradeoffs and bias reduction than prior methods on IJB-C, RFW, and VGGFace2.
An overview of privacy-enhancing technologies in biometric recognition
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Variational Latent Entropy Estimation Disentanglement: Controlled Attribute Leakage for Face Recognition
VLEED uses variational latent entropy estimation to separate categorical attributes from identity in face embeddings, achieving wider privacy-utility tradeoffs and bias reduction than prior methods on IJB-C, RFW, and VGGFace2.