title: Image Filtering on Encrypted Images using FHE
emoji: 🥷💬
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 3.2
app_file: app.py
pinned: true
tags:
- FHE
- PPML
- privacy
- privacy preserving machine learning
- homomorphic encryption
- security
python_version: 3.8.15
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Image filtering using FHE
Running the application on your machine
In this directory, ie image_filtering, you can do the following steps.
Do once
First, create a virtual env and activate it:
python3 -m venv .venv
source .venv/bin/activate
Then, install required packages:
pip3 install pip --upgrade
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed
If you are not on Linux, you will need to generate the files manually before launching the app. See section Generating new files.
Run the following steps each time you relaunch the application
In a terminal, run:
source .venv/bin/activate
python3 app.py
Interacting with the application
Open the given URL link (search for a line like Running on local URL: http://127.0.0.1:8888/).
Generating new files
It is also possible to manually add some new filters in filters.py. Yet, in order to be able to use
them interactively in the app, you first need to update the AVAILABLE_FILTERS list found in common.py
and then compile them by running :
python3 generate_dev_filters.py
Check it finishes well (by printing "Done!").