Machine learning model score obfuscation using coordinated interleaving
US11562290B2 · kind B2 · utility
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Key dates
| Filing date | Apr 30, 2019 |
| Grant date | Jan 24, 2023 |
| Priority date | — |
| Expiry date | Sep 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An artefact is received. Features are extracted from this artefact which are, in turn, used to populate a vector. The vector is then input into a classification model to generate a score. The score is then modified to result in a modified score by interleaving the generated score or a mapping thereof into digits of a pseudo-score. Thereafter, the modified score can be provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.