OpenMined / PyDPLinks
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
☆541Updated last month
Alternatives and similar repositories for PyDP
Users that are interested in PyDP are comparing it to the libraries listed below
Sorting:
- Diffprivlib: The IBM Differential Privacy Library☆896Updated 2 months ago
- Tools and service for differentially private processing of tabular and relational data☆287Updated 3 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆398Updated last week
- list of differential-privacy related resources☆317Updated 11 months ago
- autodp: A flexible and easy-to-use package for differential privacy☆277Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆687Updated 7 months ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆521Updated 2 months ago
- Privacy Preserving Vertical Federated Learning☆221Updated 2 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆282Updated 2 weeks ago
- Training PyTorch models with differential privacy☆1,890Updated 3 weeks ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated last month
- Differential private machine learning☆196Updated 3 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆108Updated 2 weeks ago
- ☆331Updated last month
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- ☆45Updated 4 years ago
- Library for training machine learning models with privacy for training data☆1,995Updated 5 months ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- A SMPC companion library for Syft☆105Updated last month
- resources about federated learning and privacy in machine learning☆540Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆737Updated 6 months ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆56Updated 5 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 3 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 7 years ago
- A library for Partially Homomorphic Encryption in Python☆630Updated 2 years ago
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science☆616Updated 2 years ago