Author

R. Saidi

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Open access Aug 2026

Layer-aware deep feature optimization for privacy-preserving face biometrics with revocable key binding

This study presents a privacy-preserving face biometric framework in which deep embeddings are transformed into binary revocable templates and bound on the fly to cryptographic keys using a fuzzy commitment scheme with error-correcting codes.

Atef Bentahar, M. C. Ghanem, R. Saidi et al. · Cybersecurity · 0 citations