capeprivacy / tf-world-tutorial
TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
☆46Updated last year
Alternatives and similar repositories for tf-world-tutorial:
Users that are interested in tf-world-tutorial are comparing it to the libraries listed below
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 7 months ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- A library for running Functional Encryption on tensors☆44Updated 4 years ago
- Bridge between TensorFlow and Google's Private Join and Compute library☆16Updated 2 years ago
- A concise primer on Differential Privacy☆28Updated 4 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Machine Learning with SPDZ☆20Updated 6 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- A SMPC companion library for Syft☆102Updated 3 months ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 5 years ago
- Privacy-preserving XGBoost Inference☆48Updated last year
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 3 years ago
- Implementation of protocols in SecureNN.☆130Updated 2 years ago
- ☆43Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- Blog dedicated to cryptography and machine learning☆23Updated 4 months ago
- Arbitrary precision integers in TensorFlow☆11Updated 2 years ago
- Defines types for all Serde encoding across languages☆20Updated 6 months ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- A privacy-preserving app for comparing last-known locations of coronavirus patients☆43Updated last year
- 6.857 project - implementation of scheme for encrypting integer vectors that allows addition, linear transformation, and weighted inner p…☆69Updated 7 years ago
- Code for NIPS'2017 paper☆50Updated 4 years ago