differential-privacy

#计算机科学#Fit interpretable models. Explain blackbox machine learning.

翻译 - 拟合可解释的模型。说明黑匣子机器学习。

Google's differential privacy libraries.

翻译 - Google的差异隐私库。

#计算机科学#A unified framework for privacy-preserving data analysis and machine learning

#计算机科学#Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

#计算机科学#Training PyTorch models with differential privacy

翻译 - 使用不同的隐私训练PyTorch模型

Master Federated Learning in 2 Hours—Run It on Your PC!

#计算机科学#Diffprivlib: The IBM Differential Privacy Library

翻译 - Diffprivlib：IBM差异隐私库

OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

#计算机科学#Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

#计算机科学#Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

#计算机科学#Simulate a federated setting and run differentially private federated learning.

#计算机科学#Paper notes and code for differentially private machine learning

The core library of differential privacy algorithms powering the OpenDP Project.

#Awesome#Repository for collection of research papers on privacy.

#计算机科学#Simulation framework for accelerating research in Private Federated Learning

Differential privacy validator and runtime

#计算机科学#Synthetic Data SDK ✨

Tools and service for differentially private processing of tabular and relational data