High-performance organizations depend upon actionable insights from data to drive business forward. As the collection and use of “big data” becomes more prevalent, data privacy becomes a central concern to a variety of internal and external stakeholders.
Responsible firms put an emphasis on the conscientious use of data. Methods of differential privacy enable firms to learn from the data while protecting personal and private information.
This conference will provide a primer on differential privacy, exploring its methods, best practices, and current research.
Field CTO,
Synthesized
Nov. 17–18, 2022
Online Event | Confirmation Sent Upon Registration
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Research Meets Practice
Industry practitioners, academic researchers, and students of all ages, backgrounds, and disciplines are invited to attend this online conference. Registration is complimentary.
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Agenda
1pm:
Founder and CEO,
Affinity Answers
Director, Data Integrity First, Lecturer, McCombs School of Business
Distinguished Engineer,
Dell Technologies
Executive Vice President and Chief Data and Analytics Officer,
TransUnion
Analyst and Strategy Consultant,
Heracles Media
Assistant Professor of Computer Science,
University of Texas at Austin
Professor of Computer Science and Engineering,
Boston University
Associate Director, Center for Analytics and Transformative Technologies, McCombs School of Business
University of Texas at Austin
Program Committee
Speakers/Panelists
Sponsors
Computing Innovation Fellow,
John A. Paulson School of Engineering and Applied Sciences,
Harvard University
CATT 2022 GLOBAL ANALYTICS CONFERENCE
DIFFERENTIAL PRIVACY
How do you generate and share insights from data while protecting individual privacy?
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Nov. 17–18, 2022 | Online
Director, Center for Analytics and Transformative Technologies, McCombs School of Business
University of Texas at Austin
Dean, McCombs School of Business,
University of Texas at Austin
Associate Dean for Research, McCombs School of Business,
University of Texas at Austin
Faculty Director, Center for Analytics and Transformative Technologies, McCombs School of Business
University of Texas at Austin
Thursday, Nov. 17
Friday, Nov. 18
Panel, Differential Privacy: Business Case and Best Practices
Moderator,
Sree Nagarajan, Affinity Answers, Journey Towards Ethical Privacy: The Story of a Reformed Data Provider
8:30 am:
Michael Shepherd, Dell, WEB3: A Foundation Built on Data Ownership and Privacy
Cynthia Dwork, Harvard
2pm:
3pm:
4pm:
Opening Remarks from Dean Mills and Conference Chair Dan Mitchell
12:30 pm:
12:45 pm:
Gordon McKay Professor of Computer Science,
Harvard Law School
Managing Partner,
MoviPartners
SVP, Data Science,
Neustar, Inc., a TransUnion company
Venkat Achanta, Transunion, Applying Privacy Preserving Technologies at Scale
Wanrong Zhang, Harvard, Composition Theorems for Interactive Differentially Private Mechanisms
David Hendrawirawan, UT McCombs and Data Integrity First, Introduction to Differential Privacy
Room Opens
Don Brown, Synthesized
Panelists,
Robert Stratton, Transunion
Bill King, Movi Partners
Eric Seufert, Heracles Media
9:30 am:
David Wu, UT Computer Science, Computing on Private Data: Genome Privacy Using Cryptography
10:30 am:
Adam Smith, Boston University, When is Memorization Necessary for Machine Learning?
11:30 am:
KEYNOTE
KEYNOTE