Computationally efficient, accurate, and privacy-preserving data storage and retrieval are
among the key challenges faced by practical deployments of biometric identification systems …

Efficient large-scale biometric identification is a challenging open problem in biometrics
today. Adding biometric information protection by cryptographic techniques increases the …

The development of large-scale facial identification systems that provide privacy protection
of the enrolled subjects represents an open challenge. In the context of privacy protection …

The development of large-scale identification systems that ensure the privacy protection of
enrolled subjects represents a major challenge. Biometric deployments that provide …

The efficiency of biometric systems, in particular efficient and accurate biometric
identification, is one of the most challenging open problems in biometrics today. In addition …

Biometric data stored in automated recognition systems are at risk of attacks. This is
particularly true for large-scale biometric identification systems, where the reference …

This paper proposes a non-interactive end-to-end solution for secure fusion and matching of
biometric templates using fully homomorphic encryption (FHE). Given a pair of encrypted …

Crypto‐biometric schemes, such as fuzzy commitment, require binary sources. A novel
approach to binarising biometric data using Deep Neural Networks applied to facial …

The cutting-edge biometric recognition systems extract distinctive feature vectors of
biometric samples using deep neural networks to measure the amount of (dis-) similarity …

The rapid proliferation of biometrics has led to growing concerns about the security and
privacy of the biometric data (template). A biometric uniquely identifies an individual and …