{ "_id": "6abaa01c99f7aa8c6aa41fe3", "Package": "DPSynth", "Type": "Package", "Title": "Differentially Private Synthetic Data with Guaranteed Utility", "Version": "0.1.0", "Authors@R": "c(person(\"Mukul\", \"Bijalwan\",\nemail = \"mukulbijalwan555@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Gunjan\", \"Aggarwal\", role = \"aut\"),\nperson(\"Mukul\", \"Jain\", role = \"aut\"))", "Maintainer": "Mukul Bijalwan ", "Description": "Differentially private (DP) synthetic data generation for\ntabular data. Provides DP Gaussian mixture models, DP Gaussian\ncopulas, DP histogram marginals and a Private Aggregation of\nTeacher Ensembles (PATE) synthesizer for mixed-type data,\ntogether with a standardized utility evaluation framework\n(univariate fidelity, propensity score MSE, multivariate\ndependence, downstream task performance), empirical disclosure\nrisk auditing (membership inference, attribute disclosure,\nrecord linkage) and privacy budget accounting (basic, advanced\nand Renyi DP composition). The implementation follows Dwork and\nRoth (2014) and Dwork et al. (2006)\n for the DP mechanisms, Papernot et\nal. (2017) for the PATE\nsynthesizer, and Woo et al. (2009) \nfor the disclosure risk evaluation framework.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "LazyData": "true", "Config/testthat/edition": "3", "URL": "https://github.com/MukulBijalwan/DPSynth", "BugReports": "https://github.com/MukulBijalwan/DPSynth/issues", "Repository": "https://mukulbijalwan.r-universe.dev", "Date/Publication": "2026-09-17 11:32:51 UTC", "RemoteUrl": "https://github.com/mukulbijalwan/dpsynth", "RemoteRef": "HEAD", "RemoteSha": "1c41d3dd7d344fc01e82d423eafacc225a19c0f3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-28 16:28:19 UTC", "User": "root" }, "Author": "Mukul Bijalwan [aut, cre],\nGunjan Aggarwal [aut],\nMukul Jain [aut]", "_user": "mukulbijalwan", "_type": "src", "_file": "DPSynth_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/94bffac69635e094325e04bce3af044fb121471b5fccfe0390cfac7604028e6c", "_filesize": 243990, "_sha256": "94bffac69635e094325e04bce3af044fb121471b5fccfe0390cfac7604028e6c", 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