Package: riskutility 0.2.0

riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data

Provides comprehensive methods to measure disclosure risk and data utility for anonymized and synthetic data. Implements attribution-based risk metrics including Correct Attribution Probability (CAP), Targeted CAP (TCAP), Within Equivalence Class Attribution Probability (WEAP), and RAPID (Risk of Attribute Prediction-Induced Disclosure). Also provides distance-based privacy metrics such as Distance to Closest Record (DCR), Nearest Neighbor Distance Ratio (NNDR), and Identical Match Share (IMS). Utility assessment includes propensity score analysis, distribution comparisons, and various statistical tests. Methods are based on Taub et al. (2018) <doi:10.1007/978-3-319-99771-1_9> and related literature. Designed for integration with 'simPop' S4 classes.

Authors:Matthias Templ [aut, cre], Oscar Thees [ctb]

riskutility_0.2.0.tar.gz
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riskutility_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
riskutility/json (API)

# Install 'riskutility' in R:

install.packages('riskutility', repos = c('https://matthias-da.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/matthias-da/riskutility/issues

On CRAN:

5.45 score 2 stars 6 scripts 482 downloads 99 exports 46 dependencies

Last updated from:9a7f1b3889. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	346
source / vignettes	OK	357
linux-release	OK	377
macos-release	OK	265
macos-oldrel	OK	312
windows-devel	OK	353
windows-release	OK	291
windows-oldrel	OK	316
wasm-release	OK	196

Exports:ait attacker_risk chisq_utility ci_overlap ci_proximity compare_boxplots compare_chisq_gof compare_correlation_matrices compare_distributions_cont compare_embedding compare_feature_importance compare_histograms compare_ks_test compare_means_frequencies compare_missing_values compare_model_performance compare_multivariate_distribution compare_multivariate_summary_statistics compare_outliers compare_pca compare_wasserstein ConditionalEntropy contingency_fidelity copula_fidelity CrossEntropy CumulativeEntropy dcap dcr delta_presence densitydiff_1d_num densitydiff_kl_num densitydiff_pca disclosure_report disco domias drisk energy_distance epsilon_identifiability from_sdcMicro from_simPop from_synthpop gower hellinger high_risk_records hitting_rate ims individual_risk information_surprisal inspect_record JSDiv JSDiv_bayes kanonymity KLDiv KLDiv_bayes ldiversity linkability mae mape max_info_leakage MaxEntropy merge_per_record mia_classifier MinEntropy mmd mqs mse mutualInformation nnaa nndr NormalizedEntropy pMSE population_uniqueness positive_information_disclosure privacy_score propscore rapid rapid_synthesizer_cv rapid_test rapid_threshold_select recordLinkage regression_fidelity RenyiEntropy repu rf_privacy risk_by_group rmse rumap singling_out specks subgroup_utility suda synth_pair systemAnonymityLevel tail_fidelity tcap tcloseness top_at_risk tstr weap

Dependencies:boot class cli colorspace cpp11 data.table DEoptimR e1071 farver ggplot2 glue gtable isoband jsonlite labeling laeken lattice lifecycle lmtest magrittr MASS Matrix nnet plyr proxy R6 randomForest ranger RColorBrewer Rcpp RcppEigen reshape2 rlang robustbase S7 scales sp stringi stringr vcd vctrs VIM viridisLite withr xgboost zoo

riskutility: Comprehensive Disclosure Risk and Data Utility Assessment for Anonymized and Synthetic Data in R

Rendered fromriskutility.Rmdusingknitr::rmarkdown

Last update: 2026-06-17
Started: 2026-01-28

Help page	Topics
riskutility: Disclosure Risk and Data Utility for Anonymized and Synthetic Data	riskutility-package riskutility
Attacker Risk Models (Prosecutor/Journalist/Marketer)	attacker_risk attacker_risk.default attacker_risk.synth_pair
Chi-Square Utility Measures	chisq_utility chisq_utility.default chisq_utility.synth_pair
Comparison of confidence intervals	ci_overlap
Confidence Interval Proximity	ci_proximity ci_proximity.default ci_proximity.synth_pair
Compare Boxplots of a Numeric Variable in Two Datasets	compare_boxplots compare_boxplots.default compare_boxplots.synth_pair
Compare Frequencies using Chi-square Goodness-of-Fit Test with Optional Grouping, Weights, and Simulated p-values	compare_chisq_gof compare_chisq_gof.default compare_chisq_gof.synth_pair
Compare Correlation Matrices between Two Datasets	compare_correlation_matrices compare_correlation_matrices.default compare_correlation_matrices.synth_pair
Compare continuous distributions conditionally	compare_distributions_cont compare_distributions_cont.default compare_distributions_cont.synth_pair
Compare Dimensionality Reduction Methods (t-SNE, UMAP, MDS-Sammon) for Two Datasets	compare_embedding compare_embedding.default compare_embedding.synth_pair
Compare Feature Importance between Real and Synthetic Data	compare_feature_importance compare_feature_importance.default compare_feature_importance.synth_pair
Compare Histograms of a Numeric Variable in Two Datasets	compare_histograms compare_histograms.default compare_histograms.synth_pair
Compare Distributions using the Kolmogorov-Smirnov Test	compare_ks_test compare_ks_test.default compare_ks_test.synth_pair
Compare Means and Frequencies between Two Datasets	compare_means_frequencies compare_means_frequencies.default compare_means_frequencies.synth_pair
Compare Missing Value Patterns Between Original and Synthetic Data	compare_missing_values compare_missing_values.default compare_missing_values.synth_pair
Compare Predictive Model Performance between Two Datasets	compare_model_performance compare_model_performance.default compare_model_performance.synth_pair
Compare Multivariate Distributions using Mahalanobis Distance or Jensen-Shannon Divergence	compare_multivariate_distribution compare_multivariate_distribution.default compare_multivariate_distribution.synth_pair
Compare Multivariate Summary Statistics between Two Datasets	compare_multivariate_summary_statistics compare_multivariate_summary_statistics.default compare_multivariate_summary_statistics.synth_pair
Compare Outlier Detection Between Original and Synthetic Data	compare_outliers compare_outliers.default compare_outliers.synth_pair
Compare Principal Component Analysis (PCA) between Two Datasets with Separate Loadings	compare_pca compare_pca.default compare_pca.synth_pair
Compare Distributions using the Wasserstein Distance	compare_wasserstein compare_wasserstein.default compare_wasserstein.synth_pair
Confidence Intervals for RAPID Risk Estimates	confint.rapid
Contingency Table Fidelity for Categorical Dependence Comparison	contingency_fidelity contingency_fidelity.default contingency_fidelity.synth_pair
Copula Fidelity for Dependence Structure Comparison	copula_fidelity copula_fidelity.default copula_fidelity.synth_pair
Correct Attribution Probability (CAP/DCAP)	dcap dcap.default dcap.synth_pair
Distance to Closest Record (DCR)	dcr dcr.default dcr.synth_pair
delta-Presence Risk Assessment	delta_presence delta_presence.default delta_presence.synth_pair
Density ratio and entropy	densitydiff_1d_num
Kullback-Leibler divergence	densitydiff_kl_num
Density ratio and entropy of first PC's	densitydiff_pca
Comprehensive Disclosure Risk Report	disclosure_report disclosure_report.default disclosure_report.synth_pair
Disclosive in Synthetic Correct Original (DiSCO)	disco disco.default disco.synth_pair
Density-based Membership Inference Attack (DOMIAS)	domias domias.default domias.synth_pair
Disclosure Risk for Continuous Variables (dRisk / dRiskRMD)	drisk drisk.default drisk.synth_pair
Energy Distance for Multivariate Numeric Data	energy_distance energy_distance.default energy_distance.synth_pair
Entropy measures	CrossEntropy Entropy JSDiv JSDiv_bayes KLDiv KLDiv_bayes
Additional Entropy-Based Privacy Measures	ConditionalEntropy CumulativeEntropy EntropyMeasures MaxEntropy MinEntropy NormalizedEntropy RenyiEntropy
Epsilon Identifiability	epsilon_identifiability epsilon_identifiability.default epsilon_identifiability.synth_pair
Evaluation statistics	ait evaluation_stats mae mape mse rmse
Extract comparison data from sdcMicro object	from_sdcMicro
Extract comparison data from simPop object	from_simPop
Extract comparison data from synthpop object	from_synthpop
Gower distance between two data frames	gower gower.default gower.synth_pair
Hellinger Distance for Categorical Distributions	hellinger hellinger.default hellinger.synth_pair
Get high-risk records	high_risk_records
Hitting Rate	hitting_rate hitting_rate.default hitting_rate.synth_pair
Identical Match Share (IMS)	ims ims.default ims.synth_pair
Individual Re-identification Risk	individual_risk individual_risk.default individual_risk.synth_pair
Information Surprisal	information_surprisal
Inspect a Single Record's Linkage Detail	inspect_record inspect_record.recordLinkageRisk print.inspect_record
k-Anonymity Assessment	kanonymity kanonymity.default kanonymity.synth_pair
l-Diversity Assessment	ldiversity ldiversity.default ldiversity.synth_pair
Linkability Risk	linkability linkability.default linkability.synth_pair
Maximum Information Leakage	max_info_leakage
Merge Per-Record Risks Back to Data	merge_per_record merge_per_record.recordLinkageRisk
Membership Inference Attack metric via classification	mia_classifier mia_classifier.default mia_classifier.synth_pair
Maximum Mean Discrepancy (MMD) for Multivariate Data	mmd mmd.default mmd.synth_pair
Model Quality Score	mqs mqs.default mqs.synth_pair
Mutual Information Privacy Metrics	mutualInformation
Nearest-Neighbor Adversarial Accuracy (NNAA)	nnaa nnaa.default nnaa.synth_pair
Nearest Neighbor Distance Ratio (NNDR)	nndr nndr.default nndr.synth_pair
Plot method for attacker_risk objects	plot.attacker_risk
Plot method for chisq_utility objects	plot.chisq_utility
Plot method for ci_proximity objects	plot.ci_proximity
Plot Method for Objects of Class "compare_distributions_cont"	plot.compare_distributions_cont
Plot method for compare_feature_importance objects	plot.compare_feature_importance
Plot method for contingency_fidelity objects	plot.contingency_fidelity
Plot method for copula_fidelity objects	plot.copula_fidelity
Plot method for dcap objects	plot.dcap
Plot method for dcr objects	plot.dcr
Plot method for delta_presence objects	plot.delta_presence
Plot method for denpca objects	plot.denpca
Plot method for denratio objects	plot.denratio
Plot method for disclosure_report objects	plot.disclosure_report
Plot method for disco objects	plot.disco
Plot method for domias objects	plot.domias
Plot method for drisk objects	plot.drisk
Plot method for energy_distance objects	plot.energy_distance
Plot method for epsilon_identifiability objects	plot.epsilon_identifiability
Plot method for gower objects	plot.gower
Plot method for hellinger objects	plot.hellinger
Plot method for hitting_rate objects	plot.hitting_rate
Plot method for ims objects	plot.ims
Plot method for individual_risk objects	plot.individual_risk
Plot method for kanonymity objects	plot.kanonymity
Plot method for ldiversityRisk objects	plot.ldiversityRisk
Plot method for linkability objects	plot.linkability
Plot method for mia objects	plot.mia
Plot method for missingCompare objects	plot.missingCompare
Plot method for mmd objects	plot.mmd
Plot method for mqs objects	plot.mqs
Plot method for nnaa objects	plot.nnaa
Plot method for nndr objects	plot.nndr
Plot method for pMSE objects	plot.pMSE
Plot method for population_uniqueness objects	plot.population_uniqueness
Plot method for propscore objects	plot.propscore
Plot method for rapid objects	plot.rapid
Plot method for recordLinkageRisk	plot.recordLinkageRisk
Plot method for regression_fidelity objects	plot.regression_fidelity
Plot method for rumap objects	plot.rumap
Plot method for singling_out objects	plot.singling_out
Plot method for specks objects	plot.specks
Plot method for subgroup_utility objects	plot.subgroup_utility
Plot method for suda objects	plot.suda
Plot method for tail_fidelity objects	plot.tail_fidelity
Plot method for tcap objects	plot.tcap
Plot method for tcloseness objects	plot.tcloseness
Plot method for weap objects	plot.weap
Propensity Score Mean Squared Error (pMSE) Utility Measure	pMSE pMSE.default pMSE.synth_pair
Population Uniqueness Risk	population_uniqueness population_uniqueness.default population_uniqueness.synth_pair
Positive Information Disclosure (PID)	positive_information_disclosure
Print method for attacker_risk objects	print.attacker_risk
Print method for chisq_utility objects	print.chisq_utility
Print method for ci_proximity objects	print.ci_proximity
Print method for compare_distributions_cont objects	print.compare_distributions_cont
Print method for compare_feature_importance objects	print.compare_feature_importance
Print method for contingency_fidelity objects	print.contingency_fidelity
Print method for copula_fidelity objects	print.copula_fidelity
Print method for dcap objects	print.dcap
Print method for dcr objects	print.dcr
Print method for delta_presence objects	print.delta_presence
Print method for denpca objects	print.denpca
Print method for denratio objects	print.denratio
Print method for disclosure_report objects	print.disclosure_report
Print method for disco objects	print.disco
Print method for domias objects	print.domias
Print method for drisk objects	print.drisk
Print method for energy_distance objects	print.energy_distance
Print method for epsilon_identifiability objects	print.epsilon_identifiability
Print method for gower objects	print.gower
Print method for hellinger objects	print.hellinger
Print method for hitting_rate objects	print.hitting_rate
Print method for ims objects	print.ims
Print method for individual_risk objects	print.individual_risk
Print method for kanonymity objects	print.kanonymity
Print method for ldiversityRisk objects	print.ldiversityRisk
Print method for linkability objects	print.linkability
Print method for mia objects	print.mia
Print method for missingCompare objects	print.missingCompare
Print method for mmd objects	print.mmd
Print method for mqs objects	print.mqs
Print method for nnaa objects	print.nnaa
Print method for nndr objects	print.nndr
Print method for pMSE objects	print.pMSE
Print method for population_uniqueness objects	print.population_uniqueness
Print method for propscore objects	print.propscore
Print method for rapid objects	print.rapid
Print method for recordLinkageRisk	print.recordLinkageRisk
Print method for regression_fidelity objects	print.regression_fidelity
Print method for rumap objects	print.rumap
Print method for singling_out objects	print.singling_out
Print method for specks objects	print.specks
Print method for subgroup_utility objects	print.subgroup_utility
Print method for suda objects	print.suda
Print method for summary.attacker_risk objects	print.summary.attacker_risk
Print method for summary.chisq_utility objects	print.summary.chisq_utility
Print method for summary.ci_proximity objects	print.summary.ci_proximity
Print method for summary.compare_distributions_cont objects	print.summary.compare_distributions_cont
Print method for summary.compare_feature_importance objects	print.summary.compare_feature_importance
Print method for summary.contingency_fidelity objects	print.summary.contingency_fidelity
Print method for summary.copula_fidelity objects	print.summary.copula_fidelity
Print method for summary.dcap objects	print.summary.dcap
Print method for summary.dcr objects	print.summary.dcr
Print method for summary.delta_presence objects	print.summary.delta_presence
Print method for summary.denpca objects	print.summary.denpca
Print method for summary.denratio objects	print.summary.denratio
Print method for summary.disclosure_report objects	print.summary.disclosure_report
Print method for summary.disco objects	print.summary.disco
Print method for summary.domias objects	print.summary.domias
Print method for summary.drisk objects	print.summary.drisk
Print method for summary.energy_distance objects	print.summary.energy_distance
Print method for summary.epsilon_identifiability objects	print.summary.epsilon_identifiability
Print method for summary.gower objects	print.summary.gower
Print method for summary.hellinger objects	print.summary.hellinger
Print method for summary.hitting_rate objects	print.summary.hitting_rate
Print method for summary.ims objects	print.summary.ims
Print method for summary.individual_risk objects	print.summary.individual_risk
Print method for summary.kanonymity objects	print.summary.kanonymity
Print method for summary.ldiversityRisk objects	print.summary.ldiversityRisk
Print method for summary.linkability objects	print.summary.linkability
Print method for summary.mia objects	print.summary.mia
Print method for summary.missingCompare objects	print.summary.missingCompare
Print method for summary.mmd objects	print.summary.mmd
Print method for summary.mqs objects	print.summary.mqs
Print method for summary.nnaa objects	print.summary.nnaa
Print method for summary.nndr objects	print.summary.nndr
Print method for summary.pMSE objects	print.summary.pMSE
Print method for summary.population_uniqueness objects	print.summary.population_uniqueness
Print method for summary.propscore objects	print.summary.propscore
Print method for summary.rapid objects	print.summary.rapid
Print method for summary.rapid_cv objects	print.summary.rapid_cv
Print method for summary.rapid_test objects	print.summary.rapid_test
Print method for summary.rapid_threshold objects	print.summary.rapid_threshold
Print method for summary.recordLinkageRisk	print.summary.recordLinkageRisk
Print method for summary.regression_fidelity objects	print.summary.regression_fidelity
Print method for summary.rumap objects	print.summary.rumap
Print method for summary.singling_out objects	print.summary.singling_out
Print method for summary.specks objects	print.summary.specks
Print method for summary.subgroup_utility objects	print.summary.subgroup_utility
Print method for summary.suda objects	print.summary.suda
Print method for summary.synth_pair objects	print.summary.synth_pair
Print method for summary.tail_fidelity objects	print.summary.tail_fidelity
Print method for summary.tcap objects	print.summary.tcap
Print method for summary.tcloseness objects	print.summary.tcloseness
Print method for summary.weap objects	print.summary.weap
Print method for synth_pair objects	print.synth_pair
Print method for tail_fidelity objects	print.tail_fidelity
Print method for tcap objects	print.tcap
Print method for tcloseness objects	print.tcloseness
Print method for weap objects	print.weap
Privacy Score	privacy_score
Propensity score utility measure	propscore propscore.default propscore.synth_pair
RAPID: Risk of Attribute Prediction-Induced Disclosure	rapid rapid.default rapid.synth_pair
Cross-Validation of Synthesizer Disclosure Risk	print.rapid_cv rapid_synthesizer_cv
Permutation Test for RAPID Disclosure Risk	print.rapid_test rapid_test
Data-Driven Threshold Selection for RAPID	plot.rapid_threshold print.rapid_threshold rapid_threshold_select
Record Linkage Risk After Perturbation	recordLinkage recordLinkage.default recordLinkage.synth_pair
Regression Fidelity — Coefficient Comparison	regression_fidelity regression_fidelity.default regression_fidelity.synth_pair
Replicated Uniques (RepU)	repu
RF Proximity Privacy Assessment	plot.rf_privacy print.rf_privacy print.summary.rf_privacy rf_privacy rf_privacy.default rf_privacy.synth_pair summary.rf_privacy
Aggregate Risk by Group	risk_by_group risk_by_group.recordLinkageRisk
Multivariate Risk-Utility Map (RU-Map)	rumap rumap.default rumap.synth_pair
Singling Out Risk	singling_out singling_out.default singling_out.synth_pair
SPECKS - Propensity Score Comparison via Kolmogorov-Smirnov Test	specks specks.default specks.synth_pair
Stratified Utility Assessment Across Subgroups	subgroup_utility subgroup_utility.default subgroup_utility.synth_pair
SUDA - Special Uniques Detection Algorithm	suda suda.default suda.synth_pair
Summary method for attacker_risk objects	summary.attacker_risk
Summary method for chisq_utility objects	summary.chisq_utility
Summary method for ci_proximity objects	summary.ci_proximity
Summary method for compare_distributions_cont objects	summary.compare_distributions_cont
Summary method for compare_feature_importance objects	summary.compare_feature_importance
Summary method for contingency_fidelity objects	summary.contingency_fidelity
Summary method for copula_fidelity objects	summary.copula_fidelity
Summary method for dcap objects	summary.dcap
Summary method for dcr objects	summary.dcr
Summary method for delta_presence objects	summary.delta_presence
Summary method for denpca objects	summary.denpca
Summary method for denratio objects	summary.denratio
Summary method for disclosure_report objects	summary.disclosure_report
Summary method for disco objects	summary.disco
Summary method for domias objects	summary.domias
Summary method for drisk objects	summary.drisk
Summary method for energy_distance objects	summary.energy_distance
Summary method for epsilon_identifiability objects	summary.epsilon_identifiability
Summary method for gower objects	summary.gower
Summary method for hellinger objects	summary.hellinger
Summary method for hitting_rate objects	summary.hitting_rate
Summary method for ims objects	summary.ims
Summary method for individual_risk objects	summary.individual_risk
Summary method for kanonymity objects	summary.kanonymity
Summary method for ldiversityRisk objects	summary.ldiversityRisk
Summary method for linkability objects	summary.linkability
Summary method for mia objects	summary.mia
Summary method for missingCompare objects	summary.missingCompare
Summary method for mmd objects	summary.mmd
Summary method for mqs objects	summary.mqs
Summary method for nnaa objects	summary.nnaa
Summary method for nndr objects	summary.nndr
Summary method for pMSE objects	summary.pMSE
Summary method for population_uniqueness objects	summary.population_uniqueness
Summary method for propscore objects	summary.propscore
Summary method for rapid objects	summary.rapid
Summary method for rapid_cv objects	summary.rapid_cv
Summary method for rapid_test objects	summary.rapid_test
Summary method for rapid_threshold objects	summary.rapid_threshold
Summary method for recordLinkageRisk	summary.recordLinkageRisk
Summary method for regression_fidelity objects	summary.regression_fidelity
Summary method for rumap objects	summary.rumap
Summary method for singling_out objects	summary.singling_out
Summary method for specks objects	summary.specks
Summary method for subgroup_utility objects	summary.subgroup_utility
Summary method for suda objects	summary.suda
Summary method for synth_pair objects	summary.synth_pair
Summary method for tail_fidelity objects	summary.tail_fidelity
Summary method for tcap objects	summary.tcap
Summary method for tcloseness objects	summary.tcloseness
Summary method for weap objects	summary.weap
Create a Synthetic Data Comparison Pair	synth_pair
System Anonymity Level	systemAnonymityLevel
Tail Fidelity — Tail Preservation Utility Measure	tail_fidelity tail_fidelity.default tail_fidelity.synth_pair
Targeted Correct Attribution Probability (TCAP)	tcap tcap.default tcap.synth_pair
t-Closeness Assessment	tcloseness tcloseness.default tcloseness.synth_pair
Return Highest-Risk Records	top_at_risk top_at_risk.recordLinkageRisk
Train on Synthetic, Test on Real (TSTR) Utility Measure	plot.tstr print.summary.tstr print.tstr summary.tstr tstr tstr.default tstr.synth_pair
Within Equivalence Class Attribution Probability (WEAP)	weap weap.default weap.synth_pair

Package: riskutility 0.2.0

riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data

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