MPyC -- Secure Multiparty Computation in Python
Project description
MPyC Secure Multiparty Computation in Python
MPyC supports secure m-party computation tolerating a dishonest minority of up to t passively corrupt parties, where m ≥ 1 and 0 ≤ t ≤ (m-1)/2. The underlying protocols are based on threshold secret sharing over finite fields (using Shamir's threshold scheme as well as pseudorandom secret sharing).
The details of the secure computation protocols are mostly transparent due to the use of sophisticated operator overloading combined with asynchronous evaluation of the associated protocols.
See the MPyC homepage for more info and background. Click the "launch binder" badge
above to view the entire repository and try out its notebooks in the demos
directory without any install.
Example installs:
python setup.py install
python setup.py install --user
See demos
for usage examples.
Notes:
-
Python 3.6+ (Python 3.5 or lower is not sufficient).
-
Installing package
gmpy2
is optional, but will considerably enhance the performance ofmpyc
. If you use the conda package and environment manager,conda install gmpy2
should do the job. Otherwise,pip install gmpy2
can be used on Linux (first runningapt install libmpc-dev
may be necessary too), but on Windows, this may fail with compiler errors. Fortunately, ready-to-go Python wheels forgmpy2
can be downloaded from Christoph Gohlke's excellent Unofficial Windows Binaries for Python Extension Packages webpage. Use, for example,pip install gmpy2-2.0.8-cp36-cp36m-win_amd64.whl
to finish installation. -
Use
run-all.sh
orrun-all.bat
in thedemos
directory to have a quick look at some demos. The more advanced demosbnnmnist.py
andcnnmnist.py
require Numpy, the demokmsurvival.py
requires pandas, Matplotlib, and lifelines, and the demoridgeregression.py
even requires Scikit-learn. Also note the example Windows batch files in thedocs
andtests
directories. -
Directory
demos\.config
contains configuration info used to run MPyC with multiple parties. Also, Windows batch file 'gen.bat' shows how to generate fresh key material for SSL. OpenSSL is required to generate SSL key material of your own, usepip install pyOpenSSL
. -
To use the Jupyter notebooks
demos\*.ipynb
, you need to have Jupyter installed, e.g., usingpip install jupyter
. The latest version of Jupyter will come with IPython 7.0+, which supports top-levelawait
. Instead ofmpc.run(mpc.start())
one can now simply writeawait mpc.start()
anywhere in a notebook cell, even outside a coroutine.
Copyright © 2018-2019 Berry Schoenmakers
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