Further Reading
- Avella-Medina,M. 2020. Privacy-preserving parametric inference: a case for robust statistics. Journal of the American Statistical Association (to appear).
- Cai,T.T.,Wang,Y., and Zhang,L. 2019. The cost of differential privacy: optimal rates of convergence for parameter estimation with differential privacy. arXiv:1902.04495.
- Duchi,J.C.,Jordan,M.I., and Wainwright,M.J. 2018. Minimax optimal procedures for locally private estimation. Journal of the American Statistical Association 113:521.
- Dwork,C., and Roth,A. 2014. The algorithmic foundations of differential privacy. Foundations and Trends in Theoretical Computer Science 9.3–4, 211–407.
- Huber,P., and Ronchetti,E. 2009. Robust Statistics, 2nd edition. New York: Wiley.
- Stigler,S.M. 2010. The changing history of robustness. The American Statistician 64:4, 277–281.