OpenMined / PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
☆507Updated 5 months ago
Alternatives and similar repositories for PyDP:
Users that are interested in PyDP are comparing it to the libraries listed below
- Diffprivlib: The IBM Differential Privacy Library☆848Updated 2 months ago
- list of differential-privacy related resources☆307Updated last month
- The core library of differential privacy algorithms powering the OpenDP Project.☆344Updated this week
- Tools and service for differentially private processing of tabular and relational data☆262Updated last month
- autodp: A flexible and easy-to-use package for differential privacy☆271Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆624Updated 2 months ago
- Training PyTorch models with differential privacy☆1,755Updated this week
- Differential private machine learning☆190Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆274Updated last month
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- ☆305Updated last month
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆99Updated this week
- Python language bindings for smartnoise-core.☆75Updated last year
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆46Updated last year
- Sample LDP implementation in Python☆122Updated last year
- Code samples and documentation for SmartNoise differential privacy tools☆132Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago
- A library for running membership inference attacks against ML models☆142Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆294Updated last year
- A toolbox for differentially private data generation☆129Updated last year
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆501Updated last year
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discu…☆168Updated 2 years ago
- resources about federated learning and privacy in machine learning☆531Updated 8 months ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆132Updated 3 years ago
- ☆417Updated 8 months ago
- Library for training machine learning models with privacy for training data☆1,948Updated 3 weeks ago