differential-privacy
Data anonymizer
Libraries for generating differentially private statistics over datasets
Google's differential privacy libraries.
3k stars
116 watching
358 forks
Language: Go
last commit: 3 months ago
Linked from 1 awesome list
anonymizationdifferential-privacyprivacy
Related projects:
Repository | Description | Stars |
---|---|---|
| Enables training of neural networks with differential privacy | 1,730 |
| An application that enforces privacy and security best practices on Windows, macOS, and Linux by automatically applying a set of scripts to enhance stability, security, and data control. | 4,229 |
| A Python library for applying collaborative privacy policies to dataframes in Pandas and Apache Spark | 173 |
| An implementation of differential privacy in federated Bayesian optimization with distributed exploration | 3 |
| Provides privacy-preserving solutions for artificial intelligence without requiring expertise in cryptography or trusted execution environments. | 566 |
| A Python library for training machine learning models while preserving the privacy of sensitive data | 1,947 |
| A toolkit for generating synthetic data while preserving differential privacy | 602 |
| A unified framework for privacy-preserving data analysis and machine learning | 2,369 |
| This repository provides an implementation of a cross-silo federated learning framework with differential privacy mechanisms. | 25 |
| An auditing tool to assess the privacy risks of machine learning models | 613 |
| Implementing an SVM model to make predictions on encrypted data while preserving the client's privacy | 1 |
| An open-source implementation of a federated learning framework to protect data privacy in embodied agent learning for Vision-and-Language Navigation. | 13 |
| An AI project providing an API to build private, context-aware applications using Large Language Models, with a focus on data privacy and security. | 54,447 |
| An open analytics platform providing real-time insights and data control | 20,003 |
| A Rust library implementing differential privacy features to protect sensitive information in applications | 42 |