opendp / smartnoise-sdkLinks
Tools and service for differentially private processing of tabular and relational data
☆282Updated 2 months ago
Alternatives and similar repositories for smartnoise-sdk
Users that are interested in smartnoise-sdk are comparing it to the libraries listed below
Sorting:
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆538Updated last week
- The core library of differential privacy algorithms powering the OpenDP Project.☆389Updated this week
- Code samples and documentation for SmartNoise differential privacy tools☆134Updated 3 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- Diffprivlib: The IBM Differential Privacy Library☆889Updated last month
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆106Updated last month
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆92Updated last month
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆280Updated last week
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆680Updated 6 months ago
- ☆36Updated 2 years ago
- list of differential-privacy related resources☆316Updated 9 months ago
- ☆40Updated 2 years ago
- A toolbox for differentially private data generation☆131Updated 2 years ago
- Privacy-preserving XGBoost Inference☆49Updated 2 years ago
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated last year
- ☆271Updated last year
- Differential privacy validator and runtime☆291Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- ☆44Updated 4 years ago
- ☆38Updated 3 years ago
- A toolkit for tools and techniques related to the privacy and compliance of AI models.☆107Updated last month
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆25Updated 6 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- ☆24Updated last year
- Federated Learning Utilities and Tools for Experimentation☆191Updated last year
- A Platform for Secure Analytics and Machine Learning☆304Updated 2 years ago
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆56Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆76Updated 2 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆519Updated last month
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆37Updated 3 months ago