Versatile Differentially Private Learning for General Loss Functions

Qilong Lu, Songxi Chen, Yumou Qiu

This paper aims to provide a versatile privacy-preserving release mechanism along with a unified approach for subsequent parameter estimation and statistical inference. We propose…