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Conference Papers Year : 2020

Joint Learning of Assignment and Representation for Biometric Group Membership

Abstract

This paper proposes a framework for group membership protocols preventing the curious but honest server from reconstructing the enrolled biometric signatures and inferring the identity of querying clients. This framework learns the embedding parameters, group representations, and assignments simultaneously. Experiments show the trade-off between security/privacy and verification/identification performances.
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Dates and versions

hal-02490005 , version 1 (26-02-2020)

Identifiers

  • HAL Id : hal-02490005 , version 1

Cite

Marzieh Gheisari, Teddy Furon, Laurent Amsaleg. Joint Learning of Assignment and Representation for Biometric Group Membership. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨hal-02490005⟩
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