Code to accompany, and reproduce figures from, "Differentially private inference via noisy optimization" (2021+)
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Updated
Oct 31, 2023 - R
Code to accompany, and reproduce figures from, "Differentially private inference via noisy optimization" (2021+)
R Client for dsPrivacy, a DataShield Differential Privacy Library
Mentor: Ruobin(Robin) Gong; Collaborators: Leah Ghazali, Nami Jain, Yuexin Zhang
Easy differential privacy in R
Common Data Model Project by SNUBH-SNU
Solution for ENS - Societe Generale Challenge (1st place).
R ports of examples from Google's Differential Privacy repository.
Census 2020 Differential Privacy Research
Differentially Private Inference for Binomial Data
Common Data Model Project by SNUBH-SNU
Differential private machine learning workflow in R
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