Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning

While biometric authentication offers higher security than other methods, the compromise of biometric data generates major privacy concerns. Combining federated learning for distributed privacy protection with non-invertible transformations and deep learning-based feature extraction, this work propo...

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Bibliografiske detaljer

Principais autores:	Vijay D. Katkar, Riman Mandal, Utpal Biswas, Munindra Lunagaria, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2026-01-01
Serier:	Alexandria Engineering Journal
Fag:	Cancelable biometrics Biometric recognition Transfer learning Machine learning Federated learning Random projection
Online adgang:	http://www.sciencedirect.com/science/article/pii/S1110016825011895
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