ftramer / slalomLinks
Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
☆165Updated 2 years ago
Alternatives and similar repositories for slalom
Users that are interested in slalom are comparing it to the libraries listed below
Sorting:
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆32Updated 4 years ago
- A Cryptographic Inference Service for Neural Networks☆130Updated 11 months ago
- Fast Privacy-Preserving Machine Learning on the GPU☆85Updated 4 years ago
- Piranha: A GPU Platform for Secure Computation☆95Updated 2 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- Implementation of protocols in SecureNN.☆129Updated 2 years ago
- Query compiler for secure multi-party computation.☆99Updated 4 years ago
- runs several layers of a deep learning model in TrustZone☆90Updated 11 months ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- ☆34Updated 3 months ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆175Updated 2 years ago
- ☆19Updated 5 years ago
- Repository for the SoK paper on Fully Homomorphic Encryption (FHE) compilers.☆80Updated 2 years ago
- Deep Learning with Intel SGX☆22Updated 6 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- ☆105Updated 3 years ago
- A unified testbed for evaluating different Oblivious RAM☆59Updated 2 years ago
- A curated list of SGX code and resources.☆242Updated last year
- TinyGarble: Logic Synthesis and Sequential Descriptions for Yao's Garbled Circuits☆122Updated last year
- ☆67Updated 6 years ago
- Homomorphic matrix computation☆42Updated 5 years ago
- Materials about Privacy-Preserving Machine Learning☆252Updated 5 months ago
- ☆429Updated last year
- Private AI Bootcamp was hosted by Microsoft in Redmond, WA on Dec 2nd-4th, 2019. This repository contains materials offered at the event,…☆33Updated 4 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆69Updated last week
- Cryptographic Enforcement of End-to-End Data Privacy☆25Updated 2 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated last year
- A two-party secure function evaluation using Yao's garbled circuit protocol☆76Updated last year
- Some algorithms for computation on encrypted data based on Microsoft SEAL☆28Updated 5 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago