Turing Lecture: Dr Cynthia Dwork, Privacy-Preserving Data Analysis - YouTube

Doctor Cynthia Dwork: Privacy-Preserving Data Analysis

Privacy-preserving data analysis has a long history, spanning at least five decades and numerous disciplines. Despite this extensive history, it is only in the last decade that an understanding has formed of the risk that the accumulation of small, seemingly insignificant statistical hints about confidential data, can pose to privacy. In this talk, Cynthia Dwork will discuss the implications of the loss of these ‘breadcrumbs’ of data, and show how differential privacy, a notion of privacy tailored to statistical analysis of large datasets, can control this risk, while at the same time permitting complex data analysis.

Biography

Cynthia Dwork, Distinguished Scientist at Microsoft Research, is renowned for placing privacy-preserving data analysis on a mathematically rigorous foundation. A cornerstone of this work is differential privacy, a strong privacy guarantee, frequently permitting highly accurate data analysis. Dr. Dwork has also made seminal contributions in cryptography and distributed computing, and is a recipient of the Edsger W. Dijkstra Prize, recognizing some of her earliest work establishing the pillars on which every fault-tolerant system has been built for decades. She is a member of the US National Academy of Sciences, the US National Academy of Engineering, and the American Philosophical Society, and a Fellow of the American Academy of Arts and Sciences.

Dwork will join Harvard in January, 2017, as the Gordon McKay Professor of Computer Science at the Paulson School of Engineering and Applied Sciences, Radcliffe Alumnae Professor at the Radcliffe Institute for Advanced Study, and an Affiliated Faculty Member at Harvard Law School.

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