CEI AI Governance Database
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Row 200 · m200-nist-adversarial-ml-guidanceCore

NIST adversarial ML guidance

Proposed Additional Source CategoriesStandards bodydocument

Assessment outcome

total 5/6 (actionability 1 + authority 2 + currency 2)

Total5/6
Actionability1/2
Authority2/2
Currency2/2

Eligibility gates

G1 · Retrievablepass

HTTP 200, 14660 words of full text extracted

G2 · AI nexuspass

The source focuses extensively on adversarial machine learning, attack taxonomies, and terminology for AI systems.

G3 · Governance nexuspass

It addresses risk management, security, resilience, robustness, and mitigation strategies for AI systems.

G4 · Attributablepass

Authored and issued by National Institute of Standards and Technology and named researchers.

G5 · In forcepass

No indicators or notices on the page state that this document has been superseded, repealed, or withdrawn.

Scored criteria

Actionability

1/2

Level 1: The source provides principles and direction regarding mitigations, but no binding steps or specific obligations.

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.

Authority

2/2

Level 2: Official government document published by the National Institute of Standards and Technology.

Approved by the NIST Editorial Review Board on 2024-01-02 How to cite this NIST Technical Series Publication

Currency

2/2

computed: newest date 2025-03-24 (via pdf-meta), ~1.4y old; within the 36-month standards_frameworks window for perspective 'Standards body' → 2

Classification

Coverage topicAdversarial machine learning taxonomy
PerspectiveStandards body
Lifecycle stageN/A cross-cutting
Layermodel
Trackgeneral
Granularitydocument