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