most citedThreats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy

3 citations · 3 across the 1 of their papers we have counts for

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cs.CR2023★ 3 cited

Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy

Yusuke Kawamoto, Kazumasa Miyake, Koichi Konishi +1

In this article, we propose the Artificial Intelligence Security Taxonomy to systematize the knowledge of threats, vulnerabilities, and security controls of machine-learning-based…