What is Differential Privacy? | Key Concepts | Installation | Getting Started | Basic Example: Adding Noise to Data | Core Functions | Differentially Private Counting | Differentially Private Mean | Differentially Private Sum | Privacy Budget Management | Budget Composition | Choosing Privacy Parameters | Epsilon (ε) | Delta (δ) | Data Bounds | Mechanism Selection | When to use Laplace vs Gaussian | Complete Workflow Example | Best Practices | Common Pitfalls | Pitfall 1: Repeated Queries | Pitfall 2: Ignoring Bounds | Pitfall 3: Epsilon Too Large | Further Reading | Getting Help
Package: tidydp 0.1.0
tidydp: Tidy Differential Privacy
A tidy-style interface for applying differential privacy to data frames. Provides pipe-friendly functions to add calibrated noise, compute private statistics, and track privacy budgets using the epsilon-delta differential privacy framework. Implements the Laplace mechanism (Dwork et al. 2006 <doi:10.1007/11681878_14>) and the Gaussian mechanism for achieving differential privacy as described in Dwork and Roth (2014) <doi:10.1561/0400000042>.
Authors:
tidydp_0.1.0.tar.gz
tidydp_0.1.0.zip(r-4.7-any)tidydp_0.1.0.zip(r-4.6-any)tidydp_0.1.0.zip(r-4.5-any)
tidydp_0.1.0.tgz(r-4.6-any)tidydp_0.1.0.tgz(r-4.5-any)
tidydp_0.1.0.tar.gz(r-4.7-any)tidydp_0.1.0.tar.gz(r-4.6-any)
tidydp_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tidydp/json (API)
| # Install 'tidydp' in R: |
| install.packages('tidydp', repos = c('https://ttarler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ttarler/tidydp/issues
Last updated from:2c3bb03827. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 105 | ||
| source / vignettes | OK | 195 | ||
| linux-release | OK | 98 | ||
| macos-release | OK | 118 | ||
| macos-oldrel | OK | 97 | ||
| windows-devel | OK | 71 | ||
| windows-release | OK | 75 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 87 |
Exports:%>%check_privacy_budgetdp_add_noisedp_countdp_meandp_sumnew_privacy_budget
Dependencies:magrittr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check Privacy Budget | check_privacy_budget |
| Add Differentially Private Noise to Data Frame Columns | dp_add_noise |
| Differentially Private Count | dp_count |
| Differentially Private Mean | dp_mean |
| Differentially Private Sum | dp_sum |
| Create a New Privacy Budget | new_privacy_budget |
| Print Privacy Budget | print.privacy_budget |