vt-asaplab / MUSES
Efficient Multi-User Searchable Encrypted Database
☆11Updated 4 months ago
Alternatives and similar repositories for MUSES:
Users that are interested in MUSES are comparing it to the libraries listed below
- OSSE and LLSE: two SSE schemes with optimal and quasi-optiaml search time☆10Updated 2 years ago
- This repository Open Source the experimental code of paper "ROSE: Robust Searchable Encryption with Forward and Backward Security"☆10Updated 2 years ago
- Code to run the evaluation of our "Obfuscated Access and Search Patterns in Searchable Encryption", NDSS'21☆12Updated 4 years ago
- Private approximate nearest neighbor search protocol based on locality-sensitive hashing and distributed point functions.☆24Updated last year
- ☆28Updated last year
- Boolean Query SSE schemes☆15Updated 6 years ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆32Updated 2 years ago
- Secure Aggregation for FL☆34Updated last year
- ☆6Updated 3 years ago
- ☆117Updated last year
- Fast Privacy-Preserving Machine Learning on the GPU☆82Updated 3 years ago
- ☆22Updated 5 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago
- ☆20Updated 6 years ago
- ☆26Updated 4 years ago
- ☆104Updated 3 years ago
- A Cryptographic Inference Service for Neural Networks☆130Updated 9 months ago
- A two-party secure function evaluation using Yao's garbled circuit protocol☆74Updated 10 months ago
- Multi-party Private Set Intersections & Threshold Set Intersections☆12Updated 4 years ago
- Experimental Code for Private Decision Tree Evaluation☆12Updated last year
- A secure aggregation system for private federated learning☆39Updated 11 months ago
- ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline☆14Updated last year
- A secure multi-party computation library based on arithmetic secret sharing and function secret sharing.☆27Updated last month
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆86Updated last year
- Piranha: A GPU Platform for Secure Computation☆95Updated 2 years ago
- Benchmarks for various multi-party computation frameworks☆19Updated 5 months ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆112Updated last year
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- A C++ library containing both easy-to-use lower level bigint/ecgroup interfaces and high-level cryptographical schemes/protocols.☆78Updated 9 months ago