Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Adversarial Robustness Toolbox | 4,420 | 9 | 11 days ago | 56 | September 22, 2023 | 145 | mit | Python | ||
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams | ||||||||||
Foolbox | 2,600 | 9 | 5 | 3 months ago | 70 | April 02, 2022 | 26 | mit | Python | |
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX | ||||||||||
Textattack | 2,597 | 5 | 4 months ago | 46 | September 11, 2023 | 52 | mit | Python | ||
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/ | ||||||||||
One Pixel Attack Keras | 1,078 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet | ||||||||||
Advmlthreatmatrix | 904 | 2 years ago | 2 | |||||||
Adversarial Threat Landscape for AI Systems | ||||||||||
Deeprobust | 904 | 1 | 5 months ago | 13 | November 13, 2023 | 44 | mit | Python | ||
A pytorch adversarial library for attack and defense methods on images and graphs | ||||||||||
Backdoor Learning Resources | 888 | 6 months ago | mit | |||||||
A list of backdoor learning resources | ||||||||||
Graph Adversarial Learning Literature | 772 | 4 months ago | ||||||||
A curated list of adversarial attacks and defenses papers on graph-structured data. | ||||||||||
Awesome Cybersecurity Datasets | 765 | a year ago | 8 | |||||||
A curated list of amazingly awesome Cybersecurity datasets | ||||||||||
Ml_privacy_meter | 501 | 4 months ago | 1 | May 13, 2022 | 12 | mit | Jupyter Notebook | |||
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms. |