ADVERSARIAL MACHINE LEARNING: A TAXONOMY AND TERMINOLOGY OF ATTACKS AND MITIGATIONS

Summary from the TLDR InfoSec newsletter

NIST has published a guidance describing the various types of attacks that can be used to target artificial intelligence systems, warning AI developers and users that there is currently no foolproof method for protecting such systems. The agency has encouraged the community to attempt to find better defenses. The report covers both predictive and generative AI.