Google's differential privacy libraries.
翻译 - Google的差异隐私库。
#计算机科学#Diffprivlib: The IBM Differential Privacy Library
翻译 - Diffprivlib:IBM差异隐私库
Training PyTorch models with differential privacy
翻译 - 使用不同的隐私训练PyTorch模型
Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
list of differential-privacy related resources
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. )
Implementation of dp-based federated learning framework using PyTorch
Differential private machine learning
Useful tools for differential privacy
FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential priv...
Differential privacy validator and runtime
Easy differential privacy in R
QGIS differential privacy processing plugin
Local Differential Privacy for Federated Learning
Repository for Federated Learning with Differential Privacy
Code samples and documentation for SmartNoise differential privacy tools
Differential Privacy Preservation in Deep Learning under Model Attacks
Naive implementation of basic Differential-Privacy framework and algorithms
Multiple Frequency Estimation Under Local Differential Privacy in Python
This repo implements several algorithms for learning with differential privacy.
Implementation of local differential privacy mechanisms in Python language.
frequent itemset mining with differential privacy in local setting