Easy differential privacy in R
-
Updated
Jul 1, 2022 - R
Easy differential privacy in R
Solution for ENS - Societe Generale Challenge (1st place).
Code to accompany, and reproduce figures from, "Differentially private inference via noisy optimization" (2021+)
Differentially Private Inference for Binomial Data
Census 2020 Differential Privacy Research
Mentor: Ruobin(Robin) Gong; Collaborators: Leah Ghazali, Nami Jain, Yuexin Zhang
R Client for dsPrivacy, a DataShield Differential Privacy Library
Differential private machine learning workflow in R
R ports of examples from Google's Differential Privacy repository.
Common Data Model Project by SNUBH-SNU
Common Data Model Project by SNUBH-SNU
Add a description, image, and links to the differential-privacy topic page so that developers can more easily learn about it.
To associate your repository with the differential-privacy topic, visit your repo's landing page and select "manage topics."