There are 7 repositories under private-set-intersection topic.
A unified framework for privacy-preserving data analysis and machine learning
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
Privacy Preserving Vertical Federated Learning
Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Private set intersection implemented in Python
The repo of Private Set Intersection(PSI) and Private Information Retrieval(PIR) from SecretFlow.
Bridge between TensorFlow and Google's Private Join and Compute library
A Go implementation of the protocols for {MPSI, MPSIU, MPSI-Sum, MPSIU-Sum} described in Estimating Incidental Collection in Foreign Intelligence Surveillance: Large-Scale Multiparty Private Set Intersection with Union and Sum.
Easy PSI is a web platform focused on Private Set Intersection(PSI), which is based on Kuscia and SecretFlow PSI Library.
Meet friends from specific interests through the privacy-preserving P2P Coincidence network.
Private Set Intersection (PSI) is a famous secure two-party computation (2PC) problem where two parties (client and server) want to jointly compute the intersection of their inputs sets without revealing additional information about the input sets. Our implementation offers open-source research code to perform fast privacy-preserving set interse...