Techniques for the safe serialization of the prediction pipeline
US11811925B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 12, 2020 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Jan 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems and methods for a machine-learning platform for the safe serialization of a machine-learning application. Individual library components (e.g., a pipeline, a microservice routine, a software module, and an infrastructure model) can be encrypted using one or more keys. The keys can be stored in a location different from the storage location of the machine-learning application. Prior to incorporation of the library component into a machine-learning model, one or more keys can be retrieved from the remote storage location to authenticate that the one or more encrypted library components are authentic. The process can reject any of the one or more component, when the encrypted library component fails authentication. If a component is rejected, the system can roll back to a previous, authenticated version of the library component. The authenticated library components can be compiled into machine-learning software.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.