Awesome Open Source

Programming Languages

Search results for adversarial attacks

adversarial-attacks x

290 search results found

Sliver ⭐ 7,152

Adversary Emulation Framework

Adversarial Robustness Toolbox ⭐ 4,420

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

Nlpaug ⭐ 3,825

Data augmentation for NLP

Foolbox ⭐ 2,600

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

Textattack ⭐ 2,597

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

Promptbench ⭐ 1,655

A unified evaluation framework for large language models

Adversarial Attacks Pytorch ⭐ 1,609

PyTorch implementation of adversarial attacks.

Taadpapers ⭐ 1,413

Must-read Papers on Textual Adversarial Attack and Defense

Advbox ⭐ 1,344

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.

Advertorch ⭐ 1,271

A Toolbox for Adversarial Robustness Research

Deeprobust ⭐ 904

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

Graph Adversarial Learning Literature ⭐ 772

A curated list of adversarial attacks and defenses papers on graph-structured data.

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Auto Attack ⭐ 587

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Openattack ⭐ 571

An Open-Source Package for Textual Adversarial Attack.

Natural Adv Examples ⭐ 559

A Harder ImageNet Test Set (CVPR 2021)

Graph Adversarial Learning ⭐ 519

A curated collection of adversarial attack and defense on graph data.

Photoguard ⭐ 431

Raising the Cost of Malicious AI-Powered Image Editing

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Textfooler ⭐ 376

A Model for Natural Language Attack on Text Classification and Inference

Adversarial Examples Pytorch ⭐ 353

Implementation of Papers on Adversarial Examples

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Security and Privacy Risk Simulator for Machine Learning

Trojanzoo ⭐ 260

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Adversarial Explainable Ai ⭐ 235

💡 Adversarial attacks on explanations and how to defend them

Hednsextractor ⭐ 234

A suite for hunting suspicious targets, expose domains and phishing discovery

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Deepsec ⭐ 206

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

Self-hardening firewall for large language models

Nettack ⭐ 187

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Awesome Computer Vision ⭐ 186

Awesome Resources for Advanced Computer Vision Topics

Defensegan ⭐ 164

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

Attack And Defense Methods ⭐ 152

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

Yopo You Only Propagate Once ⭐ 148

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Anti Dreambooth ⭐ 140

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)

Vigil Llm ⭐ 132

⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs

Adversarial Library ⭐ 123

Library containing PyTorch implementations of various adversarial attacks and resources

Fast_adversarial ⭐ 118

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

Implementation for <Decoupled Networks> in CVPR'18.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Simple pytorch implementation of FGSM and I-FGSM

Free_adv_train ⭐ 95

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

Robust Classification ⭐ 94

CVPR 2022 Workshop Robust Classification

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

A reading list for large models safety, security, and privacy.

S Attack ⭐ 85

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Robust Physical Attack ⭐ 82

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

Dialogue Understanding ⭐ 82

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Scratchai ⭐ 81

scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.

Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)

Infobert ⭐ 81

[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

Attackvlm ⭐ 79

Code of the paper: On Evaluating Adversarial Robustness of Large Vision-Language Models

Plexiglass ⭐ 79

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Torchadver ⭐ 78

A PyTorch Toolbox for creating adversarial examples that fool neural networks.

Generative_adversarial_perturbations ⭐ 78

Generative Adversarial Perturbations (CVPR 2018)

Steps towards physical adversarial attacks on facial recognition

Transferattack ⭐ 76

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

Disrupting Deepfakes ⭐ 75

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types

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

Awesome Fools ⭐ 73

💀 A collection of methods to fool the deep neural network 💀

Adversarial Learning Robustness ⭐ 71

Contains materials for workshops pertaining to adversarial robustness in deep learning.

Patch Wise Iterative Attack ⭐ 71

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

Awesome Adversarial Deep Learning ⭐ 68

A list of awesome resources for adversarial attack and defense method in deep learning

Msc 2018 Final ⭐ 66

Face Robustness Benchmark ⭐ 63

An adversarial robustness evaluation library on face recognition.

Stateadvdrl ⭐ 63

[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"

Nfl_veripy ⭐ 63

Formal Verification of Neural Feedback Loops (NFLs)

Hyperion ⭐ 61

Python toolkit for speech processing

Narcissus ⭐ 61

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

Robust Ood Detection ⭐ 59

Robust Out-of-distribution Detection in Neural Networks

Teapot Nlp ⭐ 59

Tool for Evaluating Adversarial Perturbations on Text

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

Sememepso Attack ⭐ 58

Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Mtcnnattack ⭐ 57

The first real-world adversarial attack on MTCNN face detetction system to date

Awesome 3d Point Cloud Attacks ⭐ 56

List of state of the art papers, code, and other resources

Rs Adversarial Learning ⭐ 52

A curated collection of adversarial attack and defense on recommender systems.

Diac2019 Adversarial Attack Share ⭐ 52

DIAC2019基于Adversarial Attack的问题等价性判别比赛

Kitanaqa ⭐ 47

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Fooling Lime Shap ⭐ 47

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Flowattack ⭐ 46

Attacking Optical Flow (ICCV 2019)

Adversarial Attacks On Object Detectors Paperlist ⭐ 46

A Paperlist of Adversarial Attack on Object Detection

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Onlinelabelsmoothing ⭐ 45

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

Bss_distillation ⭐ 45

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Adversarial_lab ⭐ 45

Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.

Hallucination Attack ⭐ 44

Attack to induce LLMs within hallucinations

Adversarial Examples Paper ⭐ 41

Paper list of Adversarial Examples

Proof Pudding ⭐ 40

Copy cat model for Proofpoint

Procedural Advml ⭐ 40

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Beyond Imagenet Attack ⭐ 40

Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.

Advtrajectoryprediction ⭐ 40

Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057

[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.

Advis.js ⭐ 39

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

Perceptual Advex ⭐ 39

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Ssah Adversarial Attack ⭐ 37

Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

Adversarial Information Bottleneck ⭐ 37

Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck" in NeurIPS 2021

1-100 of 290 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.