Confidential machine learning with program compartmentalization
US11423142B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 25, 2019 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Nov 20, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for implementing confidential machine learning with program compartmentalization includes implementing a development stage to design an ML program, including annotating source code of the ML program to generate an ML program annotation, performing program analysis based on the development stage, including compiling the source code of the ML program based on the ML program annotation, inserting binary code based on the program analysis, including inserting run-time code into a confidential part of the ML program and a non-confidential part of the ML program, and generating an ML model by executing the ML program with the inserted binary code to protect the confidentiality of the ML model and the ML program from attack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.