Module opendp::measurements

Various measurement constructors.

The different crate::core::Measurement implementations in this module are accessed by calling the appropriate constructor function. Constructors are named in the form make_xxx(), where xxx indicates what the resulting Measurement does.

Modules

alp 🔒

discrete_gaussian 🔒

discrete_laplace 🔒

gaussian 🔒

laplace 🔒

ptr 🔒

randomized_response 🔒

Functions

make_alp_histogram_post_process

Wrapper Measurement. See post_process.

make_base_alp

Measurement to compute a DP projection of bounded sparse data.

make_base_alp_with_hashers

Measurement to compute a DP projection of bounded sparse data.

make_base_discrete_gaussian

Make a Measurement that adds noise from the discrete_gaussian(scale) distribution to the input.

make_base_discrete_gaussian_rug

make_base_discrete_laplace

Make a Measurement that adds noise from the discrete_laplace(scale) distribution to the input.

make_base_discrete_laplace_cks20

Make a Measurement that adds noise from the discrete_laplace(scale) distribution to the input, using an efficient algorithm on rational bignums.

make_base_discrete_laplace_cks20_rug

Make a Measurement that adds noise from the discrete_laplace(scale) distribution to the input, directly using bignum types from rug.

make_base_discrete_laplace_linear

Make a Measurement that adds noise from the discrete_laplace(scale) distribution to the input, using a linear-time algorithm on finite data types.

make_base_gaussian

Make a Measurement that adds noise from the gaussian(scale) distribution to the input.

make_base_geometricDeprecated

Deprecated. Use make_base_discrete_laplace instead (more efficient). make_base_discrete_laplace_linear has a similar interface with the optional constant-time bounds.

make_base_laplace

Make a Measurement that adds noise from the laplace(scale) distribution to a scalar value.

make_base_ptr

Make a Measurement that uses propose-test-release to privatize a hashmap of counts.

make_randomized_response

Make a Measurement that implements randomized response on a categorical value.

make_randomized_response_bool

Make a Measurement that implements randomized response on a boolean value.

post_process

Wrap the AlpState in a Queryable object.