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.

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

Robust evasion attacks against neural network to find adversarial examples

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

Implementation of Papers on Adversarial Examples

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

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

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.

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

Improving Transferability of Adversarial Examples with Input Diversity

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).

LOLESXi is a curated compilation of binaries/scripts available in VMware ESXi that are were used to by adversaries in their intrusions. This project gathers procedural examples from public reports of adversarial activities targeting ESXi hosts

Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)

Generating Natural Adversarial Examples, ICLR 2018

The translation-invariant adversarial attack method to improve the transferability of adversarial examples.

Testing the effectiveness of practical implementations of adversarial examples against facial recognition.

Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017

Adversarial Examples for Semantic Segmentation and Object Detection