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

AdNauseam: Fight back against advertising surveillance

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

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

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

A Toolbox for Adversarial Robustness Research

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

Raising the Cost of Malicious AI-Powered Image Editing

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

Implementation of Papers on Adversarial Examples

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Adversarial attacks and defenses on Graph Neural Networks.

💡 Adversarial attacks on explanations and how to defend them

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

A curated list of awesome resources for adversarial examples in deep learning

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

PhD/MSc course on Machine Learning Security (Univ. Cagliari)