Joint Learning Of Assignment And Representation For Biometric Group Membership

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, g
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