Versatile framework for multi-party computation
-
Updated
May 9, 2024 - C++
Versatile framework for multi-party computation
A Privacy-Preserving Framework Based on TensorFlow
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
A fast, portable, and easy to use Oblivious Transfer Library
Oblivious Transfer, Oblivious Transfer Extension and Variations
A repo to hold common tools used by my crypto projects
Implementation of protocols in Falcon
An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties
YACL (Yet Another Common crypto library) is a C++ library that contains cryptgraphy, network and io modules which other SecretFlow code depends on.
Proof-of-concept implementation of Damgard et al. secure comparison protocol as proposed in "Secure comparison for online auctions" by Ivan Damgard et al.
Code for "Secure Two-Party Computation in a Quantum World" by N. Büscher, D. Demmler, N. Karvelas, S. Katzenbeisser, J. Krämer, D. Rathee, T. Schneider, and P. Struck, which will appear at ACNS'20.
Secure Computation Utilities
SOON TO BE DEPRECATED - A library for encrypted, privacy preserving machine learning
Implementing Digital Signature Algorithm (DSA) with SHA3 for secure and efficient message signing.
Size bounded buffer as a secure data structure in C++
Add a description, image, and links to the secure-computation topic page so that developers can more easily learn about it.
To associate your repository with the secure-computation topic, visit your repo's landing page and select "manage topics."