An adversarial example library for constructing attacks, building defenses, and benchmarking both

Data augmentation for NLP

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

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Robust evasion attacks against neural network to find adversarial examples

An Open-Source Package for Textual Adversarial Attack.

A Harder ImageNet Test Set (CVPR 2021)

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

Implementation of Papers on Adversarial Examples

Pytorch implementation of convolutional neural network adversarial attack techniques

We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.

A list of recent papers about adversarial learning

Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge

Targeted Adversarial Examples on Speech-to-Text systems

Simple pytorch implementation of FGSM and I-FGSM

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

对抗样本

Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models

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

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

A certifiable defense against adversarial examples by training neural networks to be provably robust

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

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

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

Tensorflow Implementation of Adversarial Attack to Capsule Networks

Implementation code for the paper "Generating Natural Language Adversarial Examples"