A Practical Beginners' Guide to Differential Privacy

Page Content

Page Content

Christine Task - Purdue University

Apr 25, 2012

Size: 530.0MB

Download: Video Icon MP4 Video  
Flash Icon Watch in your Browser (Flash Required)  

Abstract

Differential privacy is a very powerful approach to protecting individual privacy in data-mining; it's also an approach that hasn't seen much application outside academic circles. There's a reason for this: many people aren't quite certain how it works. Uncertainty poses a serious problem when considering the public release of sensitive data.

Intuitively, differentially private data-mining applications protect individuals by injecting noise which "covers up" the impact any individual can have on the query results. In this talk, I will discuss the concrete details of how this is accomplished, exactly what it does and does not guarantee, common mistakes and misconceptions, and give a brief overview of useful differentially privatized data-mining techniques. This talk will be accessible to researchers from all domains; no previous background in statistics or probability theory is assumed.

My goal in this presentation is to offer a short-cut to researchers who would like to apply differential privacy to their work and thus enable a broader adoption of this powerful tool.

About the Speaker

Christine Task is a PhD candidate in the Computer Science department of Purdue University, and a member of CERIAS. She has five years experience teaching discrete math and computability theory at the undergraduate level. Her research interests are in differential privacy and its application to social network analysis, and her research advisor is CERIAS fellow Chris Clifton.

Unless otherwise noted, the security seminar is held on Wednesdays at 4:30P.M. STEW G52, West Lafayette Campus. More information...

© 1999-2014 Purdue University. All rights reserved.

Use/Reuse Guidelines

CERIAS Seminar materials are intended for educational, non-commercial use only and any or all commercial use is prohibited. Any use must attribute "The CERIAS Seminar at Purdue University." Opinions expressed in the recordings are not necessarily representative of the views of CERIAS or of Purdue University.