Adding a fingerprint to a machine learning model
US11501108B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2018 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | May 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments relate to a method of producing a machine learning model with a fingerprint that maps an input value to an output label, including: selecting a set of extra input values, wherein the set of extra input values does not intersect with a set of training labeled input values for the machine learning model; selecting a first set of artificially encoded output label values corresponding to each of the extra input values in the set of extra input values, wherein the first set of artificially encoded output label values are selected to indicate the fingerprint of a first machine learning model; and training the machine learning model using a combination of the extra input values with associated first set of artificially encoded output values and the set of training labeled input values to produce the first learning model with the fingerprint.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.