uber-archive / sql-differential-privacyLinks
Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.
☆400Updated 5 years ago
Alternatives and similar repositories for sql-differential-privacy
Users that are interested in sql-differential-privacy are comparing it to the libraries listed below
Sorting:
- RAPPOR: Privacy-Preserving Reporting Algorithms☆865Updated 3 years ago
- Differential privacy validator and runtime☆291Updated 3 years ago
- ☆38Updated 3 years ago
- Diffprivlib: The IBM Differential Privacy Library☆889Updated 2 weeks ago
- ☆828Updated 2 months ago
- A Privacy Preserving Data Mining Platform☆46Updated 13 years ago
- list of differential-privacy related resources☆315Updated 8 months ago
- ☆44Updated 4 years ago
- Various material around private machine learning, some associated with blog☆149Updated 6 years ago
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated last year
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆533Updated last year
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 5 years ago
- Tools and service for differentially private processing of tabular and relational data☆280Updated last month
- A library for Partially Homomorphic Encryption in Python☆628Updated 2 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- SOON TO BE DEPRECATED - Private machine learning progress☆471Updated 5 years ago
- Model extraction attacks on Machine-Learning-as-a-Service platforms.☆350Updated 4 years ago
- This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). …☆230Updated 6 years ago
- A Platform for Secure Analytics and Machine Learning☆304Updated 2 years ago
- An experimental version of the BQ client which adds client-side encryption☆175Updated 7 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆382Updated last week
- (Inactive, see readme) Multiparty computation with SPDZ, MASCOT, and Overdrive offline phases☆221Updated 6 years ago
- A curated list of resources for privacy-preserving machine learning☆148Updated 3 years ago
- Privacy-preserving XGBoost Inference☆49Updated 2 years ago
- Library for training machine learning models with privacy for training data☆1,985Updated 3 months ago
- Repository for building the Sharemind SDK☆16Updated 2 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆280Updated last month
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆211Updated 11 months ago
- An encrypted data analytics platform☆183Updated 2 years ago