Adversarial Robustness Toolbox v1.0.0

Adversarial Robustness Toolbox (ART) is a Python library supporting developers and researchers in defending Machine Learning models (Deep Neural Networks, Gradient Boosted Decision Trees, Support Vector Machines, Random Forests, Logistic Regression, Gaussian Processes, Decision Trees, Scikit-learn Pipelines, etc.) against adversarial threats and helps making AI systems more secure and trustworthy... (read more)

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Methods used in the Paper


METHOD TYPE
Logistic Regression
Generalized Linear Models