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Joint Learning of Assignment and Representation for Biometric Group Membership

Marzieh Gheisari 1 Teddy Furon 1 Laurent Amsaleg 1
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique
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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Contributor : Marzieh Gheisari <>
Submitted on : Wednesday, February 26, 2020 - 4:04:29 PM
Last modification on : Monday, January 18, 2021 - 2:14:40 PM



  • HAL Id : hal-02490005, version 1


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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