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#

secure-multiparty-computation

Here are 43 public repositories matching this topic...

This is the development repository for the OpenFHE library. The current version is 1.4.2 (released on October 20, 2025).

  • UpdatedDec 18, 2025
  • C++

SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.

  • UpdatedDec 17, 2025
  • C++

Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.

  • UpdatedJan 24, 2025
  • C++

Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.

  • UpdatedDec 15, 2025
  • Go

HEonGPU is a high-performance library that optimizes Fully Homomorphic Encryption (FHE) on GPUs. Leveraging GPU parallelism, it reduces computational load through concurrent execution. Its multi-stream architecture minimizes data transfer overhead, making it ideal for large-scale encrypted computations with reduced latency.

  • UpdatedDec 14, 2025
  • Cuda

Cloud native Secure Multiparty Computation Stack

  • UpdatedOct 27, 2025
  • TypeScript

Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.

  • UpdatedOct 15, 2024
  • Python

Updatable Private Set Intersection Revisited: Extended Functionalities, Deletion, and Worst-Case Complexity (Asiacrypt 2024)

  • UpdatedSep 20, 2025
  • C++

TypeScript library for working with encrypted data within nilDB queries and replies.

  • UpdatedDec 18, 2025
  • TypeScript

SecretFlow-Serving is a serving system for privacy-preserving machine learning models.

  • UpdatedNov 30, 2025
  • C++

Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.

  • UpdatedJul 1, 2024
  • Python

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