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Adversarial Robustness Toolboxadversarial-robustness-toolbox.orgAdversarial 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.
Words AI uses
AI reaches for open-source · comprehensive · widely used when it describes Adversarial Robustness Toolbox.
Rivals
HiddenLayer is the brand AI weighs against Adversarial Robustness Toolbox most, and it leads on automated ai red teaming.
Sources
github.com shapes more of what AI says about Adversarial Robustness Toolbox than any other source, at 6.8% of its citations.
parse.gl · serverion.com · adversarial-robustness-toolbox.org · arxiv.org
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Excerpts where Adversarial Robustness Toolbox appeared in the AI's answer
Adversarial Robustness Toolbox (ART) : Developed under the LF AI & Data Foundation (originally IBM), ART is the most widely adopted open-source library for machine learning security
Adversarial Robustness Toolbox (ART) — attacks and defenses for classifiers.
