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Privacy-Preserving Data Analytics using Fully Homomorphic Encryption

Tests

Description

A project for COMP6453.

Table of Contents

Installation

Ensure you have Python 3.9 installed on your system. Then follow these steps:

  1. Clone the repository:

    git clone https://github.com/zhewenshen/applied-cryptography-project.git
  2. Navigate to the project directory:

    cd applied-cryptography-project
  3. Install the required dependencies:

    pip3 install -r requirements.txt

Usage

For sample usage please refer to src/main.py. Expected output can be found at demo_output.txt.

License

This project is licensed under the MIT License - see the LICENSE file for details.

How to Cite

If you use this project in your work, please cite it as follows:

@software{cs6453,
  author = {Zhewen Shen, David Wong, Alex Vong and Luke Johnston},
  title = {Privacy-Preserving Data Analytics using Fully Homomorphic Encryption},
  year = {2024},
  url = {https://github.com/zhewenshen/applied-cryptography-project},
}

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