Fecal face was born from the concept of "Shit Bucket" where the idea is to try to rot the data they have about each other.
Specifically, it is related to the detection and recognition of faces.
The motivation of this project is that the companies that collect our faces can no longer identify us.
This project (PoC for now) involves :
- Detect faces in the avatars of the entered RRSS
- Identify them with your own account
- Use adversarial inputs attack to protect it
- Check detection without identification
- Make available for download to use the protected avatar
It collects the avatar from a RRSS, tries to determine the position of a face if it exists and then attacks it in order to make the final comparison between the original face and the attacked one not recognizable by an AI, but for human eye will look similar.
This project will not cause our faces to be confused with panda bear's one. And at this moment the project doesn't work with avatars with more than one face.
This project is part of Shit Bucket tools
git clone https://gitlab.com/kennbroorg/iKy.gitYou must install the libraries inside requirements.txt
python3 -m pip install -r requirements.txtFirst of all, install nodejs.
Inside the directory frontend install the dependencies
cd frontend
npm installTurn on backend in a terminal, within the directory backend
python3 app.pyFinally, to run frontend server, execute the following command from directory frontend
npm startOpen the browser in this url
Anyone who contributes or contributed to the project, including me, is not responsible for the use of the tool (Neither the legal use nor the illegal use, nor the "other" use).
Keep in mind that this software was initially written for educational purposes (to educate ourselves), and now the goal is to collaborate with the community making quality free software, and while the quality is not excellent (sometimes not even good) we strive to pursue excellence.
We do not refund your money if you are not satisfied. I hope you enjoy using the tool as much as we enjoy doing it. The effort was and is enormous (Time, knowledge, coding, tests, reviews, etc.) but we would do it again. Do not use the tool if you cannot read the instructions and / or this disclaimer clearly.
By the way, for those who insist on remembering my mother, she died many years ago but I love her as if she were right here.