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Adversarial Robustness Toolbox (ART) is a Python library that provides tools to evaluate, defend, and verify machine learning models against adversarial threats. It supports a wide range of frameworks (TensorFlow, Keras, PyTorch, XGBoost, scikit-learn, LightGBM, CatBoost, etc.), data types (images, tables, audio, video), and tasks (classification, object detection, generation, certification), and includes 39 attack modules and 29 defense modules. ART is an LF AI & Data Foundation project that originated with IBM, with community resources on GitHub and mailing lists for users and contributors.
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Where Adversarial Robustness Toolbox ranks in AI
open-sourcewidely usedcomprehensivewidely adoptedpython libraryrecommendedpopularindustry-standard
Excerpts where Adversarial Robustness Toolbox appeared in the AI's answer

Adversarial Robustness Toolbox (ART): Hosted by the LF AI & Data Foundation (originally started by IBM Research ). It is the gold standard open-source Python library for machine learning security.

Adversarial Robustness Toolbox (ART): Hosted by the Linux Foundation AI & Data Foundation, ART is the gold standard, most comprehensive open-source Python library for machine learning security.
Excerpts where Adversarial Robustness Toolbox appeared in the AI's answer

Adversarial Robustness Toolbox (ART) (Linux Foundation): An open-source project that allows developers to audit, defend, and certify ML models against adversarial threats.

Adversarial Robustness Toolbox (ART) by IBM: Tools to simulate attacks on datasets and models to identify vulnerabilities.