Recommended Practice for Vulnerability Test for Machine Learning Models for Computer Vision Applications
Last updated: 7 Jan 2025
Development Stage
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Scope
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.
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Categorisation
Domain: Horizontal
Scope: AI-specific
Application: Computer vision
Key Information
Organisation: IEEE
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