2 papers
stat.ME2025
Optimal Differentially Private Randomized Response Designs to Collect Sensitive Binary Data
Bittu Karmakar, Palash Ghosh
Randomized response is a long-standing method for estimating the prevalence of sensitive attributes while protecting respondent privacy. It is increasingly used to generate synthet…
stat.CO2022
MDAS: A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning
Palash Ghosh, Bittu Karmakar, Eklavya Jain +3
In the field of machine learning, model performance is usually assessed by randomly splitting data into training and test sets. Different random splits, however, can yield markedly…