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495 Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-149AB
Formal Privacy from a Statistician's Perspective: Dealing with Survey Data and Statistical Inference — Invited Papers
SSC (Statistical Society of Canada), Canadian Statistical Sciences Institute, Committee on Privacy and Confidentiality
Organizer(s): Anne-Sophie Charest, Université Laval
Chair(s): Kaiqiong Zhao, University of Alberta
8:35 AM Mechanisms for Global Differential Privacy Under Bayesian Data Synthesis
Jingchen (Monika) Hu, Vassar College; Matthew R Williams, National Center for Science and Engineering Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
9:00 AM Inference for Optimal Differential Privacy Procedures for Frequency Tables
Naisyin Wang, University of Michigan; Chengcheng Li, University of Michigan; Gongjun Xu, University of Michigan
9:25 AM Analysis of Differentially Private Synthetic Data Sets
Bei Jiang, University of Alberta; Yangdi Jiang, University of Alberta; Linglong Kong, University of Alberta; Anne-Sophie Charest, Université Laval
9:50 AM Discussant: Aleksandra B. Slavkovic, Penn State University
10:10 AM Floor Discussion