This recommended practice provides a framework for vulnerability tests for machine learning models in the computer vision domain. The document covers the following areas: - definitions of vulnerabilities for machine learning models and their training processes, - approaches for the selection and application of vulnerability test means, - approaches for determining test completeness and termination criteria, - metrics of vulnerabilities and test completeness.
- Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Active PAR
- PAR Approval