Joint Mathematics Meetings AMS Special Session
Current as of Thursday, April 21, 2022 04:01:57
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Virtual Joint Mathematics Meetings (formerly in Seattle, WA)
- now meeting virtually, PT (hosted by the American Mathematical Society), Seattle, WA
- April 6-9, 2022 (Wednesday - Saturday)
- Meeting #1174
Associate Secretary for the AMS Scientific Program:
Georgia Benkart, University of Wisconsin-Madison benkart@math.wisc.edu
AMS Special Session on Advancing Data Privacy-Preserving Methodologies
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Wednesday April 6, 2022, 8:00 a.m.-11:30 a.m.
AMS Special Session on Advancing Data Privacy-Preserving Methodologies
Organizers:
Claire McKay Bowen, Urban Institute
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8:00 a.m.
Introduction on Data Privacy and Confidentiality: Protecting Your Privacy in a Data-Driven World
Claire McKay Bowen*, Urban Institute
(1174-62-5467) -
8:30 a.m.
Differentially private methods for managing model uncertainty in linear regression models
Andres Felipe Barrientos*, Department of Statistics, Florida State University
Víctor Peña, Baruch College, The City University of New York
(1174-62-8913) -
9:30 a.m.
Problems on Random Graphs under Local Differential Privacy
Jonathan Hehir*, Penn State University
Xiaoyue Niu, Penn State University
Aleksandra Slavkovic, Penn State University
Siddharth Vishwanath, Penn State University
(1174-62-9883) -
10:00 a.m.
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism
Matthew Reimherr, Penn State University
Jeremy Seeman*, Penn State University
Aleksandra Slavkovic, Penn State University
(1174-60-6361) -
11:00 a.m.
Differentially Private machine learning algorithms for data sharing
Ellen Galantucci*, Bureau of Labor Statistics
Alex Measure, Bureau of Labor Statistics
David Oh, Bureau of Labor Statistics
(1174-62-5994)
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8:00 a.m.
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Wednesday April 6, 2022, 1:00 p.m.-4:00 p.m.
AMS Special Session on Advancing Data Privacy-Preserving Methodologies, II
Organizers:
Claire McKay Bowen, Urban Institute
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1:00 p.m.
Private Tabular Survey Data Products through Synthetic Microdata Generation
Jingchen Hu*, Vassar College
Terrance Savitsky, Bureau of Labor Statistics
Matthew R Williams, National Center for Science and Engineering Statistics
(1174-62-10060) -
1:30 p.m.
Differentially private synthetic data for CDC WONDER
Harrison Quick*, Drexel University
(1174-68-6423) -
2:30 p.m.
Differentially Private Generation of Social Networks
Claire McKay Bowen, Urban Institute
Evercita Cuevas Eugenio*, Sandia National Laboratories
Ick Hoon Jin, Yonsei University
Fang Liu, University of Notre Dame
(1174-62-8978) -
3:30 p.m.
Statistical Data Privacy: Where Do We Go from Here?
Joshua Snoke*, RAND Corporation
(1174-62-9020)
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1:00 p.m.
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