Adversarial Libraries

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Adversarial 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…

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Codes in NLP, Deep Learning, Reinforcement Learning and Artificial Intelligence I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep L…

An information security preparedness tool to do adversarial simulation.

Metta is an information security preparedness tool. This project uses Redis/Celery, python, and vagrant with virtualbox to do adversarial simulation. This allows you to test (mostly) your host based…

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Below is a outline of the book chapters: To download some of the datasets for the book, you will need a Kaggle account and an API token. To use the Kaggle API: If you do not have a GPU, run the follo…

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Thus, you may use this library to improve your dataset quality: To run experiment follow these steps: To determine the best sampling strategy, ROC AUC scores of each dataset were scaled (min-max scal…

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…

🗣️ Tool to generate adversarial text examples and test machine learning models against them

This library allows you to generate texts using these methods, and simulate these kind of attacks on your machine learning models. By exposing your model to these texts offline, you will be able to b…

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 …

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

This is Andrew Norton's capstone research work. The goal is to perform a similar function to Google's TensorFlow Playground, but for evasion attacks in adversiaral machine learning. It is a web ser…

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

See below how medigan can be run from the command line to generate synthetic medical images. Model information can be found in: To install the current release, simply run: Or, alternatively via conda…

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