Popular GitHub Repositories for Cyber Defense

:octocat: Machine Learning for Cyber Security

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Must-read Papers on Textual Adversarial Attack and Defense

A pytorch adversarial library for attack and defense methods on images and graphs

Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Adversarial attacks and defenses on Graph Neural Networks.

Your ? Superintelligence

? 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

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

A certifiable defense against adversarial examples by training neural networks to be provably robust

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

prompt attack-defense, prompt Injection, reverse engineering notes and examples | 提示词对抗、破解例子与笔记

A survey on harmful fine-tuning attack for large language model

pretrained BERT model for cyber security text, learned CyberSecurity Knowledge