opendp / smartnoise-core
Differential privacy validator and runtime
☆290Updated 2 years ago
Related projects: ⓘ
- Python language bindings for smartnoise-core.☆75Updated last year
- Code samples and documentation for SmartNoise differential privacy tools☆132Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆244Updated last month
- The core library of differential privacy algorithms powering the OpenDP Project.☆313Updated this week
- Diffprivlib: The IBM Differential Privacy Library☆815Updated this week
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆500Updated last week
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆393Updated 4 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆273Updated last week
- list of differential-privacy related resources☆279Updated 5 months ago
- A Platform for Secure Analytics and Machine Learning☆297Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆581Updated 3 weeks ago
- Privacy Testing for Deep Learning☆183Updated last year
- A toolkit for tools and techniques related to the privacy and compliance of AI models.☆96Updated 2 months ago
- ☆42Updated 3 years ago
- ☆38Updated 2 years ago
- ☆27Updated this week
- Web application that makes data releases that satisfy differential privacy using the OpenDP Library☆19Updated last month
- RAPPOR: Privacy-Preserving Reporting Algorithms☆858Updated 2 years ago
- An encrypted data analytics platform☆179Updated last year
- Source code for the VLDB 2021 paper.☆10Updated 3 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated last year
- Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.☆109Updated 5 months ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- A privacy preserving NLP framework☆197Updated last year
- A curated list of resources for privacy-preserving machine learning☆146Updated 2 years ago
- Library for training machine learning models with privacy for training data☆1,921Updated 2 weeks ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆88Updated 3 months ago
- A SMPC companion library for Syft☆98Updated last month
- ☆125Updated this week
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 4 years ago