A wrapper to run MPC applications (Viff/SPDZ) on AWS EC2 instances.

This is the working repository for the implementation of the secure graph protocols described in ACMPV13.

Privacy -preserving Neural Networks

Fairplay SFDL compiler support for Ethsnarks

d'Artagnan SafeClient component

Project Containing d'Artagnan SafeServer and Communication Middleware

Python implementation of the TPC protocol from the paper "Authenticated Garbling and Efficient Maliciously Secure Two-Party Computation"

Data structure and message format standards and conventions for implementations of garbled gate protocols.

MPC for Nim

Linear-complexity Private Function Evaluation (PFE) based on homomorphic encryption (as presented at ESORICS'20).

This article uses a simple use case involving a transaction between a vendor and a customer to illustrate the privacy-enhancing potential of oblivious transfer (OT) and to demonstrate how OT can be incorporated into a Python implementation of a web service by leveraging the otc library.

Multiparty computation mockup for research purposes

Knuth Morris Pratt Multi-Party Computation

Secure implementations of Edit Distance algorithms using EMP-toolkit garbled circuits

TNO PET Lab - secure Multi-Party Computation (MPC) - Shamir Secret Sharing

TNO PET Lab - secure Multi-Party Computation (MPC) - Paillier

TNO PET Lab - secure Multi-Party Computation (MPC) - Distributed Paillier

TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Kaplan-Meier

TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Exponentiation

TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Matrix Inverse