Privacy: A Natural Resource to Be Conserved
Speaker: Cynthia Dwork , Microsoft Research
Date: October 16 2008
Time: 4:15PM to 5:45PM
Location: 32-123
Host: Madhu Sudan, CSAIL
Contact: Colleen Russell, 3-0145, crussell@csail.mit.edu
Relevant URL: Abstract:
The problem of statistical disclosure control - revealing accurate statistics about a population while preserving the privacy of individuals - has a venerable history. An extensive literature spans multiple disciplines: statistics, theoretical computer science, security, and databases. This talk revisits the problem of privacy-preserving data analysis from a cryptographic perspective. The focal point of the talk is an ad omnia (as opposed to ad hoc) notion of privacy, which we call differential privacy. Roughly speaking, differential privacy ensures that only a limited amount of additional risk of anything! -- is incurred by participating in a data set.
Biography:
Cynthia Dwork, a theoretical computer scientist, has made fundamental contributions to cryptography, distributed computing, and complexity theory. Her current focus is the development of a mathematically rigorous framework and algorithmic techniques for the privacy-preserving analysis of data. A Principal Researcher at Microsoft, Dwork is a recipient of the Edsger W. Dijkstra Prize and a member of the US National Academy of Engineering and the American Academy of Arts and Sciences.
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