Hi all.
NIST recently published NIST AI 100-2e2023, Adversarial Machine Learning.
This report develops a taxonomy of concepts and defnes terminology in the feld of adversarial machine learning (AML).
The taxonomy is built on surveying the AML literature and is arranged in a conceptual hierarchy that includes key types of
ML methods and lifecycle stages of attack, attacker goals and objectives, and attacker capabilities and knowledge of the
learning process. The report also provides corresponding methods for mitigating and managing the consequences of attacks
and points out relevant open challenges to take into account in the lifecycle of AI systems.
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Vic Hargrave
Cybersecurity Analytics Engr.
Forcepoint Federal, LLC
+1-650-430-3356
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