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robust-ml / robust-ml.github.io

A community-run reference for state-of-the-art adversarial example defenses.
https://www.robust-ml.org/
Creative Commons Attribution Share Alike 4.0 International
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readme

Adversarial Example Defenses Build Status

A catalog of defenses against adversarial examples, paired with attacks that break them (where applicable).

See the live site at https://www.robust-ml.org/

This is a community-maintained document. Feel free to contribute by opening an issue or submitting a pull request.

More information is available in the FAQ: https://www.robust-ml.org/faq/

Authors

This is a community-maintained resource. See the homepage for a list of the people who help maintain the website and robustml package.

Development

Run bundle install to fetch dependencies.

Run bundle exec jekyll build to build the site.

For development purposes, it can be handy to run bundle exec jekyll serve --watch. You will be able to preview the website at http://localhost:4000.

License

Licensed under CC BY-SA 4.0.