Detection and mitigation of machine learning model adversarial attacks
US12271491B2 · kind B2 · utility
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Key dates
| Filing date | Oct 22, 2024 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Oct 22, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/552
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods for verifying the integrity of data, such as data used for training machine learning models. Some implementations are directed to verifying the provenance of datasets, the contents of datasets, or both. In some implementations, multiple filters are selected for verifying the contents of datasets. Filters can be selected based on rules, random selection, or using a machine learning model in some implementations. In some implementations, data cleaning is provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.