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Adversarial Robustness Toolbox

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  • repo2026-07-14It is written here as Adversarial Robustness Toolbox (ART).

    Python library for Machine Learning Security; provides tools to defend and evaluate Machine Learning models and applications against adversarial threats of Evasion, Poisoning, Extraction, and Inference; supports frameworks TensorFlow, Keras, PyTorch, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, e

  • repo2026-07-11It is written here as Adversarial Robustness Toolbox (ART).

    Flagship ML security library for evaluating and defending models against evasion, poisoning, extraction, and inference attacks across major ML frameworks

  • course2026-06-21

    Used for crafting adversarial examples/perturbations against ML models

  • article2026-05-21It is written here as Adversarial Robustness Toolbox (ART).

    Model manipulation/evasion testing; 39 attack modules (evasion, poisoning, extraction, inference) and 29 defense modules; compatible with 10+ ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras); provides robustness metrics/certification; maintained under Linux Foundation AI and Data project; do

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