20 citations · 22 across the 10 of their papers we have counts for
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cs.CR2022
Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy
Gokularam Muthukrishnan, Sheetal Kalyani
The framework of differential privacy protects an individual's privacy while publishing query responses on congregated data. In this work, a new noise addition mechanism for differ…
cs.CR2022
Introducing the Huber mechanism for differentially private low-rank matrix completion
R Adithya Gowtham, Gokularam M, Thulasi Tholeti +1
Performing low-rank matrix completion with sensitive user data calls for privacy-preserving approaches. In this work, we propose a novel noise addition mechanism for preserving dif…