Adversarial-machine-learning Libraries

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Adversarial-machine-learning Libraries

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

The library is under continuous development. Feedback, bug reports and contributions are very welcome! This material is partially based upon work supported by the Defense Advanced Research Projects A…

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. There are lots of reasons to use TextAttack: You should be running Python 3.6+ to use this pack…

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Clone and set up ARES 2.0 via the following commands: If you derive value from ARES 2.0 in your endeavors, kindly cite our paper on adversarial robustness, which encompasses all models, attacks, and…

Create adversarial attacks against machine learning Windows malware detectors

If you use our library, please cite us! Also, depending on the manipulations / formalization you are using, please cite our work: If you encounter something strange, feel free to open an issue! I am …

A Python library for Secure and Explainable Machine Learning

SecML can run with Python >= 3.6 with no additional configuration steps required, as all its dependencies are available as wheel packages for the principal macOS versions, Linux distributions and …

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