Systems and methods for private authentication with helper networks
US11789699B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 22, 2021 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Jun 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.