opendp / smartnoise-core
Differential privacy validator and runtime
☆290Updated 3 years ago
Alternatives and similar repositories for smartnoise-core:
Users that are interested in smartnoise-core are comparing it to the libraries listed below
- Tools and service for differentially private processing of tabular and relational data☆265Updated 3 months ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- Code samples and documentation for SmartNoise differential privacy tools☆133Updated 2 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆354Updated this week
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆396Updated 5 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆276Updated last week
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆208Updated 6 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆515Updated 7 months ago
- A Platform for Secure Analytics and Machine Learning☆303Updated 2 years ago
- Diffprivlib: The IBM Differential Privacy Library☆863Updated 3 weeks ago
- ☆38Updated 2 years ago
- A privacy preserving NLP framework☆197Updated last year
- list of differential-privacy related resources☆308Updated 3 months ago
- ☆43Updated 3 years ago
- ☆814Updated last week
- A Framework for Encrypted Machine Learning in TensorFlow☆1,223Updated 7 months ago
- A SMPC companion library for Syft☆103Updated 5 months ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making u…☆151Updated 5 months ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- ☆266Updated last year
- Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who pa…☆143Updated 7 months ago
- An encrypted data analytics platform☆182Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆646Updated last week
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆140Updated 5 months ago
- ☆421Updated 10 months ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆61Updated 4 years ago