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metadata
title: Encrypted Credit Card Approval Prediction Using Fully Homomorphic Encryption
emoji: 💳 ✅
colorFrom: green
colorTo: green
sdk: gradio
sdk_version: 3.40.0
app_file: app.py
pinned: true
tags:
  - FHE
  - PPML
  - privacy
  - privacy preserving machine learning
  - credit card approval
  - credit score
  - homomorphic encryption
  - security
python_version: 3.10.11

Credit card approval using FHE

Run the application locally

Install the dependencies

First, create a virtual env and activate it:

python3 -m venv .venv
source .venv/bin/activate

Then, install the required packages:

pip3 install pip --upgrade
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed

The above steps should only be done once.

Run the app

In a terminal, run:

source .venv/bin/activate
python3 app.py

Interact with the application

Open the given URL link (search for a line like Running on local URL: http://127.0.0.1:8888/).

Development

If the model, data-set or pre/post-processing is modified locally, it is possible to initialize, fit and compile the model all at once using the following command. It will also save the deployment files at the right places in order to make sure the app works properly :

python3 development.py