Adversarial Examples Python Packages

textattack

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

adversarial-robustness-toolbox

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

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

auto-lirpa

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

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

adversarial-vision-challenge

NIPS Adversarial Vision Challenge

advertorch

A Toolbox for Adversarial Robustness Research

torchattack

🛡 A curated list of adversarial attacks in PyTorch, with a focus on transferable black-box attacks.

adv-lib

Library containing PyTorch implementations of various adversarial attacks and resources

groot-trees

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

adaptive-neighbourhoods

Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.

foolbox-native

Foolbox Native is an extension for Foolbox that tries to bring native performance to Foolbox. This extension is a prototype with the goal of ultimately becoming part of Foolbox itself.

advhash

Adversarial attacks for perceptual image hashing functions

adversary

Creates adversarial text examples for machine learning models

advbox

Python toolbox to create adversarial examples that fool neural networks

customattack

A library for generating text adversarial examples

famework

Framework for Adversarial Malware Evaluation.

moorkh

A Python toolbox to create adversarial examples that fool neural networks in PyTorch.