Adversarial Machine Learning Python Packages

llm-guard

The Security Toolkit for LLM Interactions

adversarial-robustness-toolbox

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

textattack

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

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

secml

A Python library for Secure and Explainable Machine Learning

auto-lirpa

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

ml-pentest

This is a software framework that can be used for the evaluation of the robustness of Malware Detection methods with respect to adversarial attacks.

advertorch

A Toolbox for Adversarial Robustness Research

adversarial-labeller

Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.

secml-malware

Create adversarial attacks against machine learning Windows malware detectors

trojai

A repository to quickly generate synthetic data and associated trojaned deep learning models

graphgallery

GraphGallery is a gallery for benchmarking Graph Neural Networks

fawkes

An utility to protect user privacy

aixploit

AI redTeaming Python library

augmented-pca

Repository for the AugmentedPCA Python package.

versatile-evasion-attacks

Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on metaheuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.

layerssustainabilityanalysis

A Python library that analyzes the layer sustainability of neural networks

pro-gan-pth

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

advsecurenet

Machine Learning Security Library

robustness-framework

An efficient framework for establishing baselines in standard and adversarial machine learning training projects

niteshade

Library for simulating data poisoning attack and defence strategies against online machine learning systems.

universal-evasion-attacks

Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on metaheuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.

scratchai-nightly

scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.

mia

A library for running membership inference attacks against ML models