Python library for secure multi-party computation using garbled circuits
Project description
pySecureCircuit
pySecureCircuit is a Python library that allows secure multiparty computation using Yao's garbled circuit technique. The library provides a way for multiple parties to securely compute a function on their private inputs without revealing them to each other, using a combination of encryption, randomization, and computation over circuits.
Getting Started
Installation
Run the following command to install the library:
pip install pysecurecircuit
Usage
Here's a simple example of how to use pySecureCircuit for the Millionaire's Problem for two parties.
Write your function logic in a python script.
from pysecurecircuit.circuit import Circuit
from pysecurecircuit.server import Server
def main():
# Create circuit with 2 party
circuit = Circuit(name="Millionaires' Problem", num_parties=2)
# Define input variable
alice_wealth = circuit.newSecureInteger()
bob_wealth = circuit.newSecureInteger()
# Circuit logic
alice_richer_than_bob = alice_wealth > bob_wealth
# Assign input variables to alice and bob
circuit.assign_to_party(party_idx=0, name="Wealth (Alice)", variable=alice_wealth)
circuit.assign_to_party(party_idx=1, name="Wealth (Bob)", variable=bob_wealth)
# Set circuit's output
circuit.set_output(name="Alice richer than Bob", variable=alice_richer_than_bob)
# Start server
Server(circuit).start()
main()
Server
To start server for the circuit creator run
python3 script.py --host 0.0.0.0 --port PORT
Client
For circuit evaluator, run the following command
python3 -m pysecurecircuit --client-id CLIENT_ID --host HOST --port PORT
Where CLIENT_ID
is the identifier of the client that starts from 1, HOST
is the IP address or hostname of the server, and PORT
is the port number to connect to.
Contributing
Contributions are welcome! If you'd like to contribute to pySecureCircuit, please fork the repository and create a pull request.
Acknowledgments
This library is based on Yao's garbled circuit technique, and builds on existing work in secure multiparty computation. Thank you to the researchers and developers who have contributed to this field.
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