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tno.mpc.mpyc.matrix-inverse

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

https://github.com/tno-mpc/mpyc.matrix_inverse

Science Score: 44.0%

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    CITATION.cff file
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    Low similarity (10.1%) to scientific vocabulary

Keywords

matrix-inverse mpc mpc-lab mpyc multi-party-computation pet-lab secret-sharing tno
Last synced: 6 months ago · JSON representation ·

Repository

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

Basic Info
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  • Open Issues: 0
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Topics
matrix-inverse mpc mpc-lab mpyc multi-party-computation pet-lab secret-sharing tno
Created over 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme License Citation

README.md

TNO MPC Lab - MPyC - Matrix Inverse

The TNO MPC lab consists of generic software components, procedures, and functionalities developed and maintained on a regular basis to facilitate and aid in the development of MPC solutions. The lab is a cross-project initiative allowing us to integrate and reuse previously developed MPC functionalities to boost the development of new protocols and solutions.

The package tno.mpc.mpyc.matrix_inverse is part of the TNO Python Toolbox.

This package is based on the demo ridgeregression.py from the MPyC library on Feb 26th, 2020, as implemented by Frank Blom. https://github.com/lschoe/mpyc/blob/2de1dd76db632bdc2a48acfbbaab841fa73cf8bd/demos/ridgeregression.py. The underlying theory is published in the paper 'Efficient Secure Ridge Regression from Randomized Gaussian Elimination' by Frank Blom, Niek J. Bouman, Berry Schoenmakers, and Niels de Vreede, presented at TPMPC 2019 by Frank Blom. See https://eprint.iacr.org/2019/773 (or https://ia.cr/2019/773).

Note: we added support for secure fixed points (SecFxp).

Limitations in (end-)use: the content of this software package may solely be used for applications that comply with international export control laws.
This implementation of cryptographic software has not been audited. Use at your own risk.

Documentation

Documentation of the tno.mpc.mpyc.matrix_inverse package can be found here.

Install

Easily install the tno.mpc.mpyc.matrixinverse package using pip: ```console $ python -m pip install tno.mpc.mpyc.matrixinverse ```

Note:

A significant performance improvement can be achieved by installing the GMPY2 library. console $ python -m pip install 'tno.mpc.mpyc.matrix_inverse[gmpy]'

If you wish to run the tests you can use: console $ python -m pip install 'tno.mpc.mpyc.matrix_inverse[tests]'

Usage

Usage

example.py ```python import numpy as np from mpyc.runtime import mpc from tno.mpc.mpyc.matrixinverse import matrixinverse

async def main(): X = (np.random.randint(low=-1000, high=1000, size=(5, 5)) / 10).tolist() Xinv = np.linalg.inv(X).tolist() await mpc.start()

secfxp = mpc.SecFxp()
X_mpc = [[secfxp(x) for x in row] for row in X]
X_mpc = [mpc.input(row, 0) for row in X_mpc]

inverse = matrix_inverse(X_mpc)
Xinv_mpc = [await mpc.output(_) for _ in inverse]
Xinv_mpc = [[float(xx) for xx in x] for x in Xinv_mpc]

checker = mpc.matrix_prod(X_mpc, inverse)
checker = [await mpc.output(_) for _ in checker]

diff = np.array(Xinv) - np.array(Xinv_mpc)
rel_diff = np.divide(
    diff, np.array(Xinv), out=np.zeros_like(diff), where=np.array(Xinv) != 0
)

await mpc.shutdown()

print(f"X = \n{np.array(X)}\n")
print(f"Xinv = \n{np.array(Xinv)}\n")
print(f"Xinv_mpc = \n{np.array(Xinv_mpc)}\n")
print(f"X * Xinv_mpc = \n{np.array(checker)}\n")
print(f"max absolute diff = {np.abs(diff).max()}")
print(f"max relative diff (nonzero entries) = {np.abs(rel_diff).max()}")

if name == "main": mpc.run(main()) ```

Owner

  • Name: TNO - MPC Lab
  • Login: TNO-MPC
  • Kind: organization
  • Email: mpclab@tno.nl
  • Location: Anna van Buerenplein 1, 2595 DA Den Haag, The Netherlands

TNO - MPC Lab

Citation (CITATION.cff) 

cff-version: 1.2.0
license: Apache-2.0
message: If you use this software, please cite it using these metadata.
authors:
      - name: TNO MPC Lab
        city: The Hague
        country: NL
        email: mpclab@tno.nl
        website: https://mpc.tno.nl
type: software
url: https://mpc.tno.nl
contact:
      - name: TNO MPC Lab
        city: The Hague
        country: NL
        email: mpclab@tno.nl
        website: https://mpc.tno.nl
repository-code: https://github.com/TNO-MPC/mpyc.matrix_inverse
repository-artifact: https://pypi.org/project/tno.mpc.mpyc.matrix_inverse
title: TNO MPC Lab - MPyC - Matrix Inverse
version: v0.4.3
date-released: 2021-12-28

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Thomas Rooijakkers t****s@t****l 3
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  • Total packages: 1
  • Total downloads:
    • pypi 35 last-month
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  • Total versions: 2
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pypi.org: tno.mpc.mpyc.matrix-inverse

A generic extension to MPyC that allows you to securely compute the inverse of a matrix that may contain SecFxp values

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 35 Last month
Rankings
Dependent packages count: 6.6%
Forks count: 30.5%
Dependent repos count: 30.6%
Average: 31.3%
Stargazers count: 39.1%
Downloads: 49.8%
Maintainers (1)
PETLab
Last synced: 6 months ago