Neural flow attestation
US11783201B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 23, 2020 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Feb 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Mechanisms are provided to implement a neural flow attestation engine and perform computer model execution integrity verification based on neural flows. Input data is input to a trained computer model that includes a plurality of layers of neurons. The neural flow attestation engine records, for a set of input data instances in the input data, an output class generated by the trained computer model and a neural flow through the plurality of layers of neurons to thereby generate recorded neural flows. The trained computer model is deployed to a computing platform, and the neural flow attestation engine verifies the execution integrity of the deployed trained computer model based on a runtime neural flow of the deployed trained computer model and the recorded neural flows.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.