Examples

Python Docs

There are many useful notebooks embedded in the user guide and API docs:

• Getting started in the user guide.

• Putting things together at the end of the user guide.

• DP-sum in Chaining (user guide)

• count in opendp.mod.Transformation (API docs)

• DP-mean in opendp.mod.Measurement (API docs)

Python Notebooks

• Example Data Analysis
  • Working with CSV data
  • Casting
  • Private Count
  • Private Sum
  • Private Mean
  • Zero-Concentrated Differential Privacy
  • Measure Casting
  • Composition
  • Population Amplification
• Attacks
  • Differencing
    • Loading the data
    • A simple attack
    • Using OpenDP
  • Membership
    • Membership Attacks
    • Example
    • Simulations
    • Differential Privacy
  • Reconstruction
    • Reconstruction Attack
    • Mitigations
    • Simulations
    • Differential Privacy
• Working with Unknown Dataset Sizes
  • Load exemplar dataset
    • When dataset size is known
  • When dataset size is unkown
  • Providing incorrect dataset size values
  • OpenDP resize vs. other approaches
• Privatizing Histograms
  • Private histogram via make_count_by_categories
  • Private histogram via make_count_by and make_base_laplace_threshold\n

Rust Examples

See the OpenDP Rust documentation for examples on how to use the Rust API.

The Rust API is nearly identical to the Python API, except that explicit type arguments in the Python API are generics.

There is also a tiny demo crate for wiring up your own FFI language bindings.

Applications

DPCreator, a part of the OpenDP Commons, is based on the OpenDP library.

Please let us know if you are building applications with the library.