capeprivacy / tf-world-tutorialLinks
TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
☆46Updated 2 years ago
Alternatives and similar repositories for tf-world-tutorial
Users that are interested in tf-world-tutorial are comparing it to the libraries listed below
Sorting:
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 11 months ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 5 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- A library for running Functional Encryption on tensors☆43Updated 4 years ago
- Blog dedicated to cryptography and machine learning☆23Updated 8 months ago
- Benchmark and comparison of secure Deep Learning platforms: TF Privacy, PySyft and TF-Encrypted☆10Updated 4 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- Machine Learning with SPDZ☆20Updated 7 years ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- A SMPC companion library for Syft☆103Updated 3 weeks ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- A concise primer on Differential Privacy☆29Updated 5 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆224Updated 2 years ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 6 years ago
- Bridge between TensorFlow and Google's Private Join and Compute library☆16Updated 2 years ago
- A privacy-preserving app for comparing last-known locations of coronavirus patients☆44Updated last year
- Defines types for all Serde encoding across languages☆20Updated 10 months ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆34Updated 5 years ago
- Federated Learning on HyperLedger Aries☆21Updated 3 years ago
- This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). …☆229Updated 5 years ago
- SOON TO BE DEPRECATED - Private machine learning progress☆471Updated 5 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆175Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- A implementation of Privacy Buckets: A numerical tool to calculate privacy loss☆10Updated 3 years ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago