Mitigating adversarial effects in machine learning systems
US11568282B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Dec 4, 2019 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | May 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for sanitization of machine learning (ML) models are provided. A first ML model is received, along with clean training data. A path is trained between the first ML model and a second ML model using the clean training data. A sanitized ML model is generated based on at least one point on the trained path. One or more ML functionalities are then facilitated using the sanitized ML model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.