1. Analyze gauss: optimal bounds for privacy-preserving principal component analysis;Dwork,2014
2. Revisiting Differentially Private Linear Regression: Optimal and Adaptive Prediction and Estimation in Unbounded Domain;Wang,2018
3. Differentially private empirical risk minimization;Chaudhuri;J Mach Learn Res,2011
4. Private convex empirical risk minimization and high-dimensional regression;Kifer,2012
5. Revealing information while preserving privacy;Dinur,2003