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59 search results found

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/

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.

Graph Adversarial Learning ⭐ 519

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

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Security and Privacy Risk Simulator for Machine Learning

Pro Gnn ⭐ 213

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

Nettack ⭐ 187

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

Attack And Defense Methods ⭐ 152

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

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"

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".

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

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.

Plexiglass ⭐ 79

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

Disrupting Deepfakes ⭐ 75

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

Face Robustness Benchmark ⭐ 63

An adversarial robustness evaluation library on face recognition.

Robust Ood Detection ⭐ 59

Robust Out-of-distribution Detection in Neural Networks

Fooling Lime Shap ⭐ 47

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

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

Advtrajectoryprediction ⭐ 40

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

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".

Attack Adaptive Aggregation In Federated Learning ⭐ 36

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

Wacv 2024 Papers ⭐ 32

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

Framework for Adversarial Malware Evaluation.

Acl18_results ⭐ 30

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

Generalized Data-free Universal Adversarial Perturbations

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Dataaug4code ⭐ 27

Source Code Data Augmentation for Deep Learning: A Survey.

Gans In Action ⭐ 24

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Code Soup ⭐ 18

This is a collection of algorithms and approaches used in the book adversarial deep learning

Adverserial_attack ⭐ 12

Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset

Query Attack ⭐ 11

A Query Efficient Natural Language Attack in a Black Box Setting

Leveraging Adversarial Examples To Quantify Membership Information Leakage ⭐ 11

Stereoscopic Universal Perturbations ⭐ 9

PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)

From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks

Targeted Adversarial Perturbations Monocular Depth ⭐ 9

PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)

Pytorch Gnn Meta Attack ⭐ 8

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.

Linear Region Attack ⭐ 8

A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

Meta Adversarial Training ⭐ 8

Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.

Stereopagnosia ⭐ 7

PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

Adversarial.jl ⭐ 7

Adversarial attacks for Neural Networks written with FluxML

Defending Against Backdoors With Robust Learning Rate ⭐ 7

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

Adversarial Attack On 3d U Net Model Brain Tumour Segmentation. ⭐ 7

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

Non Adversarial_backdoor ⭐ 6

Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).

Gradient Adversarial Transformation Network ⭐ 6

enhanced adversarial attack algorithm based on Adversarial Transformation Network(ATN)

Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"

Morphence ⭐ 6

Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models trained on MNIST and CIFAR10.

Adversarial_robustness_zsl ⭐ 5

[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning

Cvpr22w_robustnessthroughthelens ⭐ 5

Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"

Adv Examples Fun ⭐ 5

Try to generate adversarial images in your browser for fun and profit.

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