| CPC H04L 9/3231 (2013.01) [G06F 21/32 (2013.01); G06N 3/08 (2013.01); H04L 9/008 (2013.01)] | 21 Claims |
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1. A privacy-enabled biometric system comprising:
at least one processor operatively connected to a memory, wherein the at least one processor when executing is configured to;
instantiate a respective member of a first operative pairing of neural networks, the first operative pairing including at least one generation neural network and at least one classification neural network;
wherein the respective member of the first operative pairing of neural networks comprises the at least one classification neural network configured to:
accept as an input distance measurable encrypted feature vectors, the distance measurable encrypted feature vectors generated as a one way encoding of plain text authentication information input to at least one first neural network, wherein the at least one classification neural network is trained on distance measurable encrypted feature vector and respective label inputs; and
predict a match to a label for identification, authentication, or to return unknown responsive to input of at least one distance measurable encrypted feature vector produced by the at least one first neural network.
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