Adversarial Examples Open Source Projects

AdNauseam: Fight back against advertising surveillance

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

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

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

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

Implementation of Papers on Adversarial Examples

Adversarial attacks and defenses on Graph Neural Networks.

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, 2024, 2025)

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

💡 Adversarial attacks on explanations and how to defend them

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

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

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

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

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

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Physical adversarial attack for fooling the Faster R-CNN object detector

Library containing PyTorch implementations of various adversarial attacks and resources

A curated list of academic events on AI Security & Privacy

PyTorch library for adversarial attack and training

Revisiting Transferable Adversarial Images (TPAMI 2025)

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)