A Python library for Secure and Explainable Machine Learning
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Updated
May 13, 2024 - Jupyter Notebook
A Python library for Secure and Explainable Machine Learning
Contains notebooks for the PAR tutorial at CVPR 2021.
Framework for the Adversarial Machine Learning Challenge at CU Denver, showcasing techniques in AI model defense and attack.
The pretrained TensorFlow Keras models with a Foolbox Zoo compatible interface
A graphical tool to test the robustness of classifiers using Foolbox.
Defending Against Adversarial Attacks One Layer at a Time
Framework for the Adversarial Machine Learning Challenge at CU Denver, showcasing techniques in AI model defense and attack. Role: Lead developer and competition architect
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