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Adversarial Machine Learning Library (AML)

Computational Economics Research Lab at Washington University in Saint Louis

Game-theoretic adversarial machine learning library providing a set of learner and adversary modules.

Installation

To install the dependencies for adlib do pip install -r requirements.txt. See below for a list of dependencies. To install adlib, run pip3 install adlib or python3 setup.py install. For development, do python3 setup.py develop.

Dependencies

• Python3
• SciPy
• NumPy
• Matplotlib
• Scikit-learn
• CVXPY (0.4-0.4.11 version)
• Pathos
• Pandas
• Progress
• CVXOPT (optional as a CVXPY solver)
• Jupyter Notebook (optional for notebook demo)
• Py.test (optional for testing)

License

Copyright 2016-2018 Computational Economics Research Lab. Released under the MIT License. See LICENSE for details.

Note

data_reader/data is in .gitignore to speed up git. If you need to make a change from one of those files, use git add -f $FILE$.