Joint Learning of Assignment and Representation for Biometric Group Membership
February 24, 2020 Β· Declared Dead Β· π IEEE International Conference on Acoustics, Speech, and Signal Processing
"No code URL or promise found in abstract"
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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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