AI Security Continuum: Concept and Challenges

Author:

Washizaki Hironori1ORCID,Yoshioka Nobukazu1ORCID

Affiliation:

1. Waseda University, Tokyo, Japan

Funder

Japan Science and Technology Agency

Japan Society for the Promotion of Science London

Publisher

ACM

Reference18 articles.

1. AIST, "Machine Learning Quality Management Guideline", https://www.digiarc.aist.go.jp/en/publication/aiqm/, 2023.

2. QA4AI Consortium, "QA4AI Guideline", https://www.qa4ai.jp/, 2022.

3. MLSE, "Machine Learning System Security Guidelines", https://github.com/mlse-jssst/security-guideline, 2023.

4. MITRE "ATLAS" https://atlas.mitre.org/.

5. The European Union Agency for Cybersecurity "Artificial Intelligence Cybersecurity Challenges" https://www.enisa.europa.eu/publications/artificial-intelligence-cybersecurity-challenges

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