opendp / smartnoise-coreLinks
Differential privacy validator and runtime
☆291Updated 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
Sorting:
- Code samples and documentation for SmartNoise differential privacy tools☆134Updated 3 years ago
- Tools and service for differentially private processing of tabular and relational data☆286Updated 3 months ago
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆400Updated 5 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆395Updated last week
- A Platform for Secure Analytics and Machine Learning☆305Updated 2 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆281Updated last week
- Diffprivlib: The IBM Differential Privacy Library☆895Updated 2 months ago
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆212Updated last year
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆540Updated last week
- ☆38Updated 3 years ago
- RAPPOR: Privacy-Preserving Reporting Algorithms☆868Updated 3 years ago
- Privacy-preserving XGBoost Inference☆50Updated 2 years ago
- Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who pa…☆143Updated last month
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- ☆832Updated 3 weeks ago
- FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making u…☆152Updated 11 months ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 5 years ago
- Bridge between TensorFlow and Google's Private Join and Compute library☆16Updated 2 years ago
- Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.☆175Updated 2 years ago
- Secure collaborative training and inference for XGBoost.☆106Updated 3 years ago
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆175Updated last year
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆223Updated 2 years ago
- SHEEP is a Homomorphic Encryption Evaluation Platform☆51Updated 2 years ago
- A Rust library for lattice-based additive homomorphic encryption.☆418Updated 2 years ago
- This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). …☆230Updated 6 years ago
- list of differential-privacy related resources☆317Updated 10 months ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆147Updated 2 months ago
- A curated list of resources for privacy-preserving machine learning☆149Updated 4 years ago
- A Framework for Encrypted Machine Learning in TensorFlow☆1,238Updated last year