Patent ID: 11943364
Assignee: PRIVATE IDENTITY LLC
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 13:
14. A computer implemented method for privacy enabled authentication, the method comprising:
triggering, by at least one processor, one or both of a first machine learning (“ML”) process or a second ML process responsive to determining an authentication mode;
executing, by the at least one processor, the first ML process, wherein executing the first ML process includes:
accepting distance measurable encrypted feature vector as input to a first classification neural network, and classify the distance measurable encrypted feature vector input as part of identification or authentication of an entity using the first classification neural network trained on the distance measurable encrypted feature vectors for a plurality of identification classes for an identification data type, to determine a match to information of the identification data type;

executing, by the at least one processor, the second ML process, wherein executing the second ML process includes:
processing plain text identification inputs of the identification data type using a pre-trained generation neural network trained to generate distance measurable encrypted feature vectors from the plain text identification inputs of the identification data type;
comparing distances between at least one stored distance measurable encrypted feature vector and a newly generated distance measurable encrypted feature vector of the identification data type during identification or authentication of the entity to determine a match; and
returning a label associated with the entity identified by one or both of the first ML process or the second ML process, or returning an unknown result on failure to match.