Utility-cost of provable privacy: A case study on US Census Bureau data
Department: Computer Science
Quarter: Spring 2017
Seminar Date: May 05, 2017
Speaker Name:
Ashwin Machanavajjhala
Ashwin Machanavajjhala
Organization:
Duke University
Duke University
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Bio:
Ashwin Machanavajjhala is an Assistant Professor in the Department of Computer Science, Duke University. Previously, he was a Senior Research Scientist in the Knowledge Management group at Yahoo! Res…
Ashwin Machanavajjhala is an Assistant Professor in the Department of Computer Science, Duke University. Previously, he was a Senior Research Scientist in the Knowledge Management group at Yahoo! Res…
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Summary:
Privacy is an important constraint that algorithms must satisfy when analyzing sensitive data from individuals. Differential privacy has revolutionized the way we reason about privacy, and has champi…
Privacy is an important constraint that algorithms must satisfy when analyzing sensitive data from individuals. Differential privacy has revolutionized the way we reason about privacy, and has champi…
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Host:
Sharad Mehrotra
Sharad Mehrotra
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