Will Secure Multiparty Computation Reshape Data Privacy?

In an era of heightened concerns over data privacy, what more can be done to protect sensitive, confidential data?

One answer may be the emerging cryptographic technology known as secure multiparty computation, which allows parties to combine datasets and compute values of interest without exposing the underlying data. While this has been a theoretical concept for several decades, in recent years the approach has been increasingly used in real-world settings.

Opening Comments:

Sen. Ron Wyden (D-OR), @RonWyden

Nick Hart, @NickRHart
Director, Evidence-Based Policymaking Initiative, Bipartisan Policy Center

Panelists:

Amy O’Hara, @amy__ohara
Senior Research Scholar, Stanford Institute for Economic Policy Research

Ben Kreuter
Software Engineer, Google

George Alter
Research Professor, Institute for Social Research, University of Michigan

Moderator:

Chris Sadler, @cjsadler0
Fellow, New America’s Open Technology Institute