Systems and methods for private authentication with helper networks
US10938852B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 14, 2020 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Aug 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2207/4824
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Helper neural network can play a role in augmenting authentication services that are based on neural network architectures. For example, helper networks are configured to operate as a gateway on identification information used to identify users, enroll users, and/or construct authentication models (e.g., embedding and/or prediction networks). Assuming, that both good and bad identification information samples are taken as part of identification information capture, the helper networks operate to filter out bad identification information prior to training, which prevents, for example, identification information that is valid but poorly captured from impacting identification, training, and/or prediction using various neural networks. Additionally, helper networks can also identify and prevent presentation attacks or submission of spoofed identification information as part of processing and/or validation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.