Systems and methods for private authentication with helper networks
AssigneePrivate Identity LLC
InventorScott Edward Streit
Life of this patent
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AssigneePrivate Identity LLC
InventorScott Edward Streit
Estimating the term…
A set of measurable encrypted feature vectors can be derived from any biometric data and/or physical or logical user behavioral data, and then using an associated deep neural network (“DNN”) on the output (i.e., biometric feature vector and/or behavioral feature vectors, etc.) an authentication system can determine matches or execute searches on encrypted data. Behavioral or biometric encrypted feature vectors can be stored and/or used in conjunction with respective classifications, or in subsequent comparisons without fear of compromising the original data. In various embodiments, the original behavioral and/or biometric data is discarded responsive to generating the encrypted vectors. In other embodiment, helper networks can be used to filter identification inputs to improve the accuracy of the models that use encrypted inputs for classification.
1-21. (canceled)
A system for privacy-enabled identification or authentication, the system comprising:
A method for privacy-enabled identification or authentication, the method comprising:
Dependencies are inferred from the claim text.