kamathhrishi / GreyNSightsLinks
Privacy-Preserving Data Analysis using Pandas
☆23Updated 3 years ago
Alternatives and similar repositories for GreyNSights
Users that are interested in GreyNSights are comparing it to the libraries listed below
Sorting:
- A SMPC companion library for Syft☆104Updated last month
- A curated list of resources for privacy-preserving machine learning☆149Updated 3 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)☆58Updated 2 years ago
- ☆57Updated 3 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- ☆33Updated 2 years ago
- ☆432Updated last year
- list of differential-privacy related resources☆313Updated 7 months ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- ☆43Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Materials about Privacy-Preserving Machine Learning☆254Updated 6 months ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 5 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆529Updated 11 months ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Implementation of protocols in Falcon☆95Updated last year
- Implementation of protocols in SecureNN.☆131Updated 2 years ago
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- Federated Learning on HyperLedger Aries☆21Updated 3 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Secure Aggregation for FL☆35Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- ☆88Updated 5 years ago