Skip to content

Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.

License

Notifications You must be signed in to change notification settings

ibarrond/funshade

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Funshade

Functional Secret Sharing for Two-Party Secure Thresholded Distance Evaluation.

  • Languages: C (99+), Python (3.8+, for the wrapper)
  • Platforms: Linux, Windows, MacOS (any system with a C compiler)
  • Dependencies: libsodium (optional, for fast and secure random number generation)
  • Code Author: Alberto Ibarrondo
  • License: GNU GPLv3 (any code derived from this must be open source)
  • Version: 1.1.0

Description

Funshade is a library that implements a protocol to securely compute a distance metric between two vectors, followed by a secure comparison to a threshold. It is extremely lightweight, making use of cheap primitives such as AES and requiring a single intermediate round of communication and just two numbers sent per distance computation in the preprocessing model (besides input sharing and output reconstruction, common to all secret-sharing MPC schemes).

Consider citing the paper if you use it in your research!

Installation

The library is written in plain C to make it portable. It has been tested in Linux and Windows, but it should work in any system with a C compiler. To compile it, you can:

  • Use the provided CMakeLists.txt with cmake(mkdir build && cd build && cmake .. & cmake --build .)
  • Directly call your compiler with the -msse -msse2 -maes flags for faster hardware-based AES acceleration (and consider -O3 -march=native for further optimizations).

For conveniency and for seamless integration with higher-level languages, we also provide a Python wrapper. Install it with:

  • pip install .

As an optional dependency, it uses libsodium for fast and secure random number generation.

Usage

The library is designed to be used as a black-box, with a simple API.

Chech the bottom of fss.h for the available functions, test_fss.c for some uses in C, or test_funshade.py for a step-by-step Python example.

About

Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published