Samply.Laplace is a Rust library to obfuscate discrete values using differential privacy-inspired methods. The values are obfuscated by perturbing them with random values sampled from a laplace distribution with configurable parameters for location, sensitivity, and privacy budget. In order to not leak more information for repeated identical or equivalent queries, the perturbation values can be cached. The library exposes an API to finely control the caching behaviour, e.g. to obfuscate data that is stratified in a number of ways. Furthermore, a rounding step can be configured to never leak individual-level data.
Optionally, true zero values can be returned unperturbed. While lowering the privacy level slightly, this can vastly improve subsequent processes for data access control.
The dependencies Samply.Laplace Rust library requires are:
- thiserror v1.0.38
- statrs v0.16.0
- rand v0.8.5
- anyhow v1.0.69
In this section the "installation" and usage of Samply.Laplace is described.
To use Samply.Laplace in your project, please include the following dependency in your Cargo.toml
:
laplace_rs = {version = "0.2.0", git = "https://github.com/samply/laplace-rs.git", branch = "main"}
Using Samply.Laplace library:
use laplace_rs::{ObfCache, get_from_cache_or_privatize, Bin, ObfuscateBelow10Mode};
const DELTA: f64 = 1.;
const EPSILON: f64 = 0.1;
const MU: f64 = 0.;
const ROUNDING_STEP: usize = 10;
fn obfuscate -> Result<u64, LaplaceError> {
let mut obf_cache: ObfCache = ObfCache { cache: HashMap::new() };
let mut rng = thread_rng();
let value = 15;
let obfuscated = get_from_cache_or_privatize(
value, // The input value to be obfuscated.
DELTA, // Sensitivity.
EPSILON, // Privacy budget parameter.
1, // The bin that the value belongs to.
Some(&mut obf_cache), // An option that represents the obfuscation cache.
false, // A flag indicating whether zero counts should be obfuscated.
ObfuscateBelow10Mode::Ten, // 0 - return 0, 1 - return 10, 2 - obfuscate using Laplace distribution and rounding
ROUNDING_STEP, // The granularity of the rounding.
&mut rng, // A secure random generator for seeded randomness.
)?;
Ok(obfuscated)
}
Distributed under the Apache-2.0 License. See LICENSE for more