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
Revisiting Transferable Adversarial Image Examples (arXiv 2023)
A classical-quantum or hybrid neural network with adversarial defense protection
[UAI 2024 paper] DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution.
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
A classical or convolutional neural network model with adversarial defense protection
Machine Learning Attack Series
An unofficial version of the PyTorch implementation of CURE and Fast Adversarial training with FGSM.
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Library containing PyTorch implementations of various adversarial attacks and resources
🛡 A set of adversarial attacks in PyTorch
A curated list of academic events on AI Security & Privacy
AdNauseam: Fight back against advertising surveillance
A pytorch adversarial library for attack and defense methods on images and graphs
Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
RSS feed for adversarial example papers.
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning (Accepted by CVPR2024)
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
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