@techreport{nist2025adversarialml,
  title = {Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations},
  author = {NIST},
  year = {2025},
  howpublished = {NIST AI 100-2e2025},
  url = {https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2025.pdf},
  abstract = {Official NIST taxonomy and terminology for adversarial machine learning. Covers data poisoning attacks applicable to all learning paradigms, model poisoning attacks in federated learning, and supply-chain attacks. Provides guidance for defense strategies.}
}