Learning input preprocessing to harden machine learning models
US11681796B2 · kind B2 · utility
1Cited by
4References
17Claims
0Family size
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Key dates
| Filing date | Sep 10, 2019 |
| Grant date | Jun 20, 2023 |
| Priority date | — |
| Expiry date | Apr 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments are provided for securing machine learning models by one or more processors in a computing system. One or more hardened machine learning models that are secured against adversarial attacks are provided by applying one or more of a plurality of combinations of selected preprocessing operations from one or more machine learning models, a data set used for hardening the one or more machine learning models, a list of preprocessors, and a selected number of learners.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.