26 citations · 27 across the 4 of their papers we have counts for
3 papers · 1 filter
Integer Subspace Differential Privacy
Prathamesh Dharangutte, Jie Gao, Ruobin Gong +1
We propose new differential privacy solutions for when external \emph{invariants} and \emph{integer} constraints are simultaneously enforced on the data product. These requirements…
Optimal Local Bayesian Differential Privacy over Markov Chains
Darshan Chakrabarti, Jie Gao, Aditya Saraf +2
In the literature of data privacy, differential privacy is the most popular model. An algorithm is differentially private if its outputs with and without any individual's data are…
Subspace Differential Privacy
Jie Gao, Ruobin Gong, Fang-Yi Yu
Many data applications have certain invariant constraints due to practical needs. Data curators who employ differential privacy need to respect such constraints on the sanitized da…