Differentially Private Confidence Intervals for Empirical Risk Minimization
Differentially Private Confidence Intervals for Empirical Risk Minimization
The process of data mining with differential privacy produces results that are affected by two types of noise: sampling noise due to data collection and privacy noise that is designed to prevent the reconstruction of sensitive information. In this paper, we consider the problem of designing confidence intervals for the …