Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
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Updated
May 28, 2024 - Python
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
A Toolbox for Adversarial Robustness Research
A curated list of adversarial attacks and defenses papers on graph-structured data.
The Security Toolkit for LLM Interactions
A curated list of useful resources that cover Offensive AI.
T2F: text to face generation using Deep Learning
Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
Provable adversarial robustness at ImageNet scale
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Physical adversarial attack for fooling the Faster R-CNN object detector
Radio Frequency Machine Learning with PyTorch
Create adversarial attacks against machine learning Windows malware detectors
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