Supporting Artificial Intelligence/Machine Learning Security Workers Through an Adversarial Techniques, Tools, and Common Knowledge Framework

Mohamad Fazelnia,Ahmet Okutan,Mehdi Mirakhorli

IEEE Security & Privacy（2023）

引用 1|浏览17

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摘要

This article focuses on supporting artificial intelligence (AI)/machine learning (ML) security workers. It presents AI/ML adversarial techniques, tools, and common knowledge (AI/ML ATT&CK) framework to enable AI/ML security workers to intuitively explore offensive and defensive tactics.

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关键词

Security,Artificial intelligence,Computer security,Data models,Task analysis,Training,Robustness

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