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Adversarial Robustness Toolbox v1.0.0
[article]
2019
arXiv
pre-print
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. Machine Learning models are vulnerable to adversarial examples, which are inputs (images, texts,
arXiv:1807.01069v4
fatcat:pyhh4zxovbgtfcz5k3ipcip7gi