koenvanderveen / privateml
Machine Learning with SPDZ
☆20Updated 6 years ago
Alternatives and similar repositories for privateml:
Users that are interested in privateml are comparing it to the libraries listed below
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Blog dedicated to cryptography and machine learning☆23Updated 4 months ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 8 months ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- A library for running Functional Encryption on tensors☆44Updated 4 years ago
- distributed federated learning for pytorch☆15Updated 7 years ago
- Benchmark and comparison of secure Deep Learning platforms: TF Privacy, PySyft and TF-Encrypted☆10Updated 3 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Updated 8 years ago
- Implementation of protocols in SecureNN.☆130Updated 2 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- 6.857 project - implementation of scheme for encrypting integer vectors that allows addition, linear transformation, and weighted inner p…☆69Updated 7 years ago
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Updated 4 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- Tensor Based Environment Framework for Training RL Agents - Pre Alpha☆8Updated 4 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆33Updated 5 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- Defines types for all Serde encoding across languages☆20Updated 6 months ago
- Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining life…☆11Updated 5 years ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 5 years ago
- ☆22Updated 2 years ago
- A concise primer on Differential Privacy☆29Updated 4 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆52Updated 3 years ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- Implementation of protocols in Falcon☆93Updated 7 months ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆225Updated 2 years ago