Spring 2019

From Foundations to Applications

Mar. 4Mar. 8, 2019

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Marco Gaboardi (SUNY Buffalo; chair), Ashwin Machanavajjhala (Duke University), Kobbi Nissim (Georgetown University), Natalie Shlomo (University of Manchester)

This workshop will bring together scholars from several areas to discuss and advance the state of the art and help bridge the communication barriers between the many disciplines from which expertise is necessary for practical progress. Specifically, the workshop will address the needs of government agencies, the challenges of industry implementations, the tools (programming languages, query systems, evaluation platforms and so on) that ease (and drive) the design of working, scalable systems, legal and policy constraints, ethical issues associated with privacy, and potential standards and best practices for release of statistical information.

Further details about this workshop will be posted in due course. Enquiries may be sent to the organizers workshop-privacy1 [at] lists [dot] simons [dot] berkeley [dot] edu (at this address).

All events take place in the Calvin Lab auditorium.

Registration is required to attend this workshop. To submit your name for consideration, please register and await confirmation of your acceptance to the workshop before booking your travel. Space may be limited, and you are advised to register early.

Invited Participants: 

John Abowd (U.S. Census Bureau; Cornell University), Micah Altman (Massachusetts Institute of Technology), Borja Balle (Amazon), Aloni Cohen (Massachusetts Institute of Technology), Jörg Drechsler (Institute for Employment Research), Úlfar Erlingsson (Google Brain), Michael Hay (Colgate University), Xi He (University of Waterloo), James Honaker (Harvard University), Somesh Jha (University of Wisconsin, Madison), Gerome Miklau (University of Massachusetts Amherst), Paul Ohm (Georgetown University), Jerry Reiter (Duke University), Ryan Rogers (Apple), Dave Sands (Chalmers University of Technology), Dawn Song (UC Berkeley), Divesh Srivastava (AT&T Labs Research), Salil Vadhan (Harvard University), Li Xiong (Emory University)