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The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.

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privacy-evaluator

Python 3.7 Code style: black License: MIT Gitter

The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.

How does it work?

How to use the Privacy Evaluator?

How to contribute to the project?

If you want to contribute in any way, please visit our Contribution Guidelines to get started.

Communication

Who is behind the project?

See a list of our Supporters.

Contact

Gitter: https://gitter.im/privML/community

License

This library is available under the MIT License.

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The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.

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  • Python 76.9%
  • Jupyter Notebook 23.1%