We are happy to accepet any contributions to this project. Implementing new attack signals, improving documentation, fixing issues, providing feedback, or writing tutorials are all examples of valuable contributions. Suppose you publish a new membership inference attack or evaluate the defense's effectiveness. In such a case, we encourage you to add it to the Privacy Meter so that others can evaluate it fairly for their own projects.

1. Fork the repository.
2. Write the code locally and provide the unit test for the new features. We ask you to follow the PEP8 coding standard.
3. Create the pull request.

For more details, please check the doc about contributing-to-projects.

We use the DCO in our project, and please be sure to sign off your commit with the -s flag

git commit -s -m 'Commit message'