Friday, November 11, 2016

Designing privacy (differential privacy) at the Institute for Advanced Study

Differential privacy disentangles learning about a dataset as a whole from learning about an individual data contributor. Just now entering practice on a global scale, the demand for advanced differential privacy techniques and knowledge of basic skills is pressing. This symposium will provide an in-depth look at the current context for privacy-preserving statistical data analysis and an agenda for future research. This event is organized by Cynthia Dwork, of Microsoft Research, with support from the Alfred P. Sloan Foundation.
Speakers include:
Helen Nissenbaum, Cornell Tech and NYU
Aaron Roth, University of Pennsylvania
Guy Rothblum, Weizmann Institute
Kunal Talwar, Google Brain
Jonathan Ullman, Northeastern University

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