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opendp
opendp:R Bindings for the OpenDP Library
The OpenDP Library is a modular collection of statistical algorithms that adhere to the definition of differential privacy. It can be used to build applications of privacy-preserving computations, using a number of different models of privacy.
Maintained by Stefano Iacus. Last updated 1 months ago.
differential-privacydp-programming-frameworkopendpopendp-commonsprivacyrustcargo
346 stars 5.71 score 14 scripts
ai-sdc
acro:A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Assists researchers and output checkers by distinguishing between research output that is safe to publish, output that requires further analysis, and output that cannot be published because of substantial disclosure risk. A paper about the tool was presented at the UNECE Expert Meeting on Statistical Data Confidentiality 2023; see <https://uwe-repository.worktribe.com/output/11060964>.
Maintained by Jim Smith. Last updated 27 days ago.
data-privacydata-protectionprivacyprivacy-toolsstatistical-disclosure-controlstatistical-software
1 stars 4.11 score 1 scripts