Joint Learning of Assignment and Representation for Biometric Group Membership

Univ Rennes（雷恩大学）；Inria（法国国家信息与自动化研究所）；CNRS（法国国家科学研究中心）；IRISA（雷恩信息、信号与自动化研究所）

Marzieh Gheisari, Teddy Furon, Laurent Amsaleg

英文摘要：

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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