Joint Learning of Assignment and Representation for Biometric Group Membership

February 24, 2020 Β· Declared Dead Β· πŸ› IEEE International Conference on Acoustics, Speech, and Signal Processing

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Authors Marzieh Gheisari, Teddy Furon, Laurent Amsaleg arXiv ID 2002.10363 Category cs.CV: Computer Vision Cross-listed cs.CR Citations 2 Venue IEEE International Conference on Acoustics, Speech, and Signal Processing Last Checked 4 months ago
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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