Differentially Private MEstimators Lei Jing Department of Statistics Carnegie Mellon University Pittsburgh PA jingleiandrew

cmuedu Abstract This paper studies privacy preserving Mestimators using perturbed histograms The proposed approach allows the release of a wide class of Mestimators with both differential privacy and statistical utility without knowing a priori the p

Embed this Presentation

Download Notice

Download Presentation The PPT/PDF document "Differentially Private MEstimators Lei J..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.