Scanning and detecting threats in machine learning models
US12314380B2 · kind B2 · utility
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29References
21Claims
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Key dates
| Filing date | Feb 23, 2023 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Nov 30, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1433
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning model is scanned to detect actual or potential threats. The threats can be detected before execution of the machine learning model or during an isolated execution environment. The threat detection may include performing a machine learning file format check, vulnerability check, tamper check, and stenography check. The machine learning model may also be monitored in an isolated environment during an execution or runtime session. After performing a scan, the system can generate a signature based on actual, potential, or absence of detected threats.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.