AI Assurance Directory

AI assurance & verification

Adversarial Robustness Toolbox (ART)

Evidence strength: Emerging 0 cited · 2 analyst How this is scored

Python library hosted by LF AI & Data for evaluating and defending ML models against evasion, poisoning, extraction and inference. PyPI 1.20.1 (7 July 2025) lists Python 3.10–3.12. Supports TensorFlow, Keras, PyTorch and similar frameworks. MIT-licensed. DARPA HR001120C0013 acknowledgment.

Certification evidence

0 cited mappings · 2 analyst assessments across 1 framework. Counts are public. Requirement labels and quotes stay on Pro.

Analyst assessment: 2 NIST AI RMF functions or subcategories — see which with Pro

Certification relevance. Searched vendor and publisher pages; no cited clause, function or article.

No cited mapping or literature quote yet. Analyst assessments, if any, stay on Pro.

Listing detail and source evidence (Pro)

Included on Pro, Team and Enterprise. Public summaries, tags and official links on this page stay free.

See plans · Sign in

Analyst assessments (Pro)

Included on Pro, Team and Enterprise. Public summaries, tags and official links on this page stay free.

See plans · Sign in

Procurement evidence pack (Pro) — print cited mappings and analyst notes. The print view is not on this page.

Vendor / publisher
Linux Foundation AI & Data (started at IBM)
Type
Open source
Open source
Open source · MIT on the official repository https://github.com/Trusted-AI/adversarial-robustness-toolbox. Badge is used only when that repo shows an OSI-approved license.
Official site
https://github.com/Trusted-AI/adversarial-robustness-toolbox
Industries
Frameworks named on cited source
None tagged. The cited pages do not name a framework we cover.
Last verified

Listing is not an endorsement, certification or recommendation. Capabilities, availability and framework support can change. Confirm with the vendor and the relevant authority. See the disclaimer.