Plugins

Because Differential Privacy is a wide and expanding field, we can’t implement every mechanism for every user, but users can provide their own code through these methods:

Measurements

make_user_measurement()

Transformations

make_user_transformation()

Domains

user_domain()

Metrics

user_distance()

Measures

user_divergence()

Postprocessors

new_function()

Privacy Profiles

new_privacy_profile()

OpenDP itself uses the plugin machinery in some cases. It is usually easier to prototype ideas in Python than in Rust, so this provides a lower barrier to entry to contributing to OpenDP. If the contribution proves to be useful to the broader community, it can then be translated to Rust.

Examples

• Measurement example
• Transformation example
• Context API Plugins
• Thiel-Sen Regression
• Privately Selecting Grouping Columns