Shypd.aiThe largest open index of AI toolsAdversarial Robustness Toolbox (ART) is a Python library for machine learning security. It provides tools to defend and evaluate ML models against adversarial threats like evasion, poisoning, extraction, and inference.
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Adversarial Robustness Toolbox (ART) is an open-source Python library designed for machine learning security. Hosted by the Linux Foundation AI & Data Foundation, ART offers a comprehensive suite of tools for developers and researchers to evaluate and enhance the robustness of machine learning models. It specifically addresses adversarial threats such as evasion, poisoning, extraction, and inference attacks. ART supports a wide array of popular machine learning frameworks, including TensorFlow, Keras, PyTorch, scikit-learn, XGBoost, LightGBM, and CatBoost. It is compatible with various data types like images, tables, audio, and video, and caters to diverse machine learning tasks such as classification, object detection, speech recognition, and generation. This makes it a versatile tool for both red and blue teams in machine learning security.
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