Versatile framework for multi-party computation
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Updated
Oct 8, 2025 - C++
Versatile framework for multi-party computation
This is the development repository for the OpenFHE library. The current version is 1.4.1 (released on October 14, 2025).
A Privacy-Preserving Framework Based on TensorFlow
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
Updatable Private Set Intersection Revisited: Extended Functionalities, Deletion, and Worst-Case Complexity (Asiacrypt 2024)
Secure Computation Utilities
SecretFlow-Serving is a serving system for privacy-preserving machine learning models.
SMC2, or Secure Multiparty Computation in C, is the formalization and extension of the PICCO compiler, designed for general purpose secure multiparty computations.
C/C++ OT keys implementation
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