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483 Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-141
Privacy and Work Force — Contributed Papers
Government Statistics Section
Chair(s): Stephen Campbell, National Institute of Standards and Technology (NIST)
2:05 PM A New Bound for Privacy Loss of Bayesian Posterior Sampling
Xingyuan Zhao, University of Notre Dame; Fang Liu, Univerisity of Notre Dame
2:20 PM Skilled Technical Workforce Classification
Leonel Siwe, University of Virginia; Vicki Lancaster, University of Virginia; Cesar Montalvo, University of Virginia; Haleigh Tomlin, Washington and Lee University
2:35 PM Some Challenges Regarding Differential Privacy for Government Agencies
Joerg Drechsler, Institute for Employment Research and University of Maryland
2:50 PM Missing Data Imputation Under Differential Privacy
Soumojit Das, University of Maryland, College Park; Shawn Merrill , University of Maryland, College Park
3:05 PM Shape and Structure Preserving Differential Privacy on Manifolds
Carlos J Soto, The Pennsylvania State University
3:20 PM Real-Time Analytics for Human Performance Within Special Operations
Catherine Starnes, SOCOM-MARSOC and Knowesis, Inc.; Joseph V Lipoff, SOCOM-MARSOC and Knowesis, Inc.; Sarah Glover, SOCOM-MARSOC; Ryan Sheppard, SOCOM-MARSOC
3:35 PM Floor Discussion