3 papers
stat.ME2022
Optimal Gamma density to Obfuscate Quantitative data with Added Noise
Debolina Ghatak, Debasis Sengupta, Bimal Roy
Protecting the privacy of individuals in a data-set is no less important than making statistical inferences from it. In case the data in hand is quantitative, the usual way to prot…
stat.ME2018
An Improved Bound for Security in an Identity Disclosure Problem
Debolina Ghatak, Bimal K Roy
Identity disclosure of an individual from a released data is a matter of concern especially if it belongs to a category with low frequency in the data-set. Nayak et al. (2016) disc…
stat.ME2018
Conditional Masking to Numerical Data
Debolina Ghatak, Bimak K Roy
Protecting the privacy of data-sets has become hugely important these days. Many real-life data-sets like income data, medical data need to be secured before making it public. Howe…