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 · 2022
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.