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A federated learning framework to support scalable and reproducible research
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/
Personalized Federated Learning over Resource Constrained Devices in a Split Learning Setting
codes for the paper of "Evolving Deep Convolutional Neural Networks for Image Classification" published by TEVC
Large scale evolution for optimization
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
弱口令检测、 漏洞扫描、端口扫描（协议识别，组件识别）、web目录扫描、等保模拟定级、自动化运维、等保工具（网络安全等级保护现场测评工具）内置3级等保核查命令、基线核查工具、键盘记录器
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch Tutorial for Deep Learning Researchers
Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Training PyTorch models with differential privacy
A unified benchmark problem for data poisoning attacks
Library containing PyTorch implementations of various adversarial attacks and resources
OpenMMLab Pre-training Toolbox and Benchmark
Countering Adversarial Image using Input Transformations.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Models and examples built with TensorFlow
Simulate a federated setting and run differentially private federated learning.
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"