#计算机科学#Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
#自然语言处理#TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
#计算机科学#A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
#计算机科学#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....
#计算机科学#A Toolbox for Adversarial Robustness Research
#计算机科学#A pytorch adversarial library for attack and defense methods on images and graphs
#计算机科学#Raising the Cost of Malicious AI-Powered Image Editing
#计算机科学#🗣️ Tool to generate adversarial text examples and test machine learning models against them
#计算机科学#Implementation of Papers on Adversarial Examples
#计算机科学#Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
#Awesome#Adversarial attacks and defenses on Graph Neural Networks.
💡 Adversarial attacks on explanations and how to defend them
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)
#计算机科学#A curated list of awesome resources for adversarial examples in deep learning
#计算机科学#Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
#计算机科学#PhD/MSc course on Machine Learning Security (Univ. Cagliari)
#计算机科学#A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.