The initial public draft of NIST AI 100-2 (2003 edition), Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations, is now available for public comment.
NIST is specifically interested in comments on and recommendations for the following topics:
- What are the latest attacks that threaten the existing landscape of AI models?
- What are the latest mitigations that are likely to withstand the test of time?
- What are the latest trends in AI technologies that promise to transform the industry/society? What potential vulnerabilities do they come with? What promising mitigations may be developed for them?
- Is there new terminology that needs standardization?