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The Top 23 Python Machine Learning Adversarial Attacks Open Source Projects

Open source projects categorized as Python Machine Learning Adversarial Attacks
Categories > Adversarial Attacks
Categories > Machine Learning > Machine Learning
Adversarial Robustness Toolbox ⭐ 4,420
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
dependent packages 9total releases 56most recent commit 17 days agopypi adversarial-robustness-toolbox} Downloads
Foolbox ⭐ 2,600
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
dependent packages 5total releases 70most recent commit 3 months agopypi foolbox} Downloads
Textattack ⭐ 2,597
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
dependent packages 5total releases 46most recent commit 4 months agopypi textattack} Downloads
Deeprobust ⭐ 904
A pytorch adversarial library for attack and defense methods on images and graphs
dependent packages 1total releases 13most recent commit 5 months agopypi deeprobust} Downloads
Pro Gnn ⭐ 213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
most recent commit a year ago
Nettack ⭐ 187
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
most recent commit 2 years ago
Adversarial Library ⭐ 123
Library containing PyTorch implementations of various adversarial attacks and resources
most recent commit 4 months ago
Fast_adversarial ⭐ 118
Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
most recent commit 3 years ago
Tiger ⭐ 108
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
total releases 11most recent commit 2 years ago
Gnn Meta Attack ⭐ 106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
most recent commit 2 years ago
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.
total releases 4most recent commit 4 years ago
Plexiglass ⭐ 79
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
most recent commit 4 months ago
Disrupting Deepfakes ⭐ 75
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
most recent commit 4 years ago
Face Robustness Benchmark ⭐ 63
An adversarial robustness evaluation library on face recognition.
most recent commit 2 years ago
Robust Ood Detection ⭐ 59
Robust Out-of-distribution Detection in Neural Networks
most recent commit 2 years ago
Adversarial_lab ⭐ 45
Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.
most recent commit 2 years ago
Hallucination Attack ⭐ 44
Attack to induce LLMs within hallucinations
most recent commit 6 months ago
Advtrajectoryprediction ⭐ 40
Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057
most recent commit a year ago
Perceptual Advex ⭐ 39
Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
total releases 8most recent commit 2 years ago
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!
most recent commit 3 months ago
Gd Uap ⭐ 30
Generalized Data-free Universal Adversarial Perturbations
most recent commit 6 years ago
Popqorn ⭐ 29
An Algorithm to Quantify Robustness of Recurrent Neural Networks
most recent commit 4 years ago
Code Soup ⭐ 18
This is a collection of algorithms and approaches used in the book adversarial deep learning
most recent commit 2 years ago
The 4 Most Depended On Python Machine Learning Adversarial Attacks Open Source Projects
Foolbox ⭐ 2,600
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
dependent packages 5total releases 70latest release April 02, 2022most recent commit 3 months agopypi foolbox} Downloads
Deeprobust ⭐ 904
A pytorch adversarial library for attack and defense methods on images and graphs
dependent packages 1total releases 13latest release November 13, 2023most recent commit 5 months agopypi deeprobust} Downloads
The 7 Latest Releases In Python Machine Learning Adversarial Attacks Open Source Projects
Deeprobust ⭐ 904
A pytorch adversarial library for attack and defense methods on images and graphs
dependent packages 1total releases 13latest release November 13, 2023most recent commit 5 months agopypi deeprobust} Downloads
Tiger ⭐ 108
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
total releases 11latest release August 24, 2022most recent commit 2 years ago
Foolbox ⭐ 2,600
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
dependent packages 5total releases 70latest release April 02, 2022most recent commit 3 months agopypi foolbox} Downloads
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