Department of Computer Science
D329, Levine Research Science Building
Duke University, Durham NC 27708
- "What You Mark is What Apps See", with Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Landon Cox accepted at MOBISYS 2016!
- "Principled evaluation of differentially private algorithms using DPBench", with Michael Hay, Gerome Miklau, Dan Zhang, Yan Chen accepted at SIGMOD 2016! [arxiv]
- "Design of Policy-Aware Differentially Private Algorithms" with Sam Haney and Bolin Ding accepted at VLDB 2016 vol 9.
- "Formal privacy protection for data products combining individual and employer frames"
with Sam Haney, Mark Kutzbach, Matthew Graham, John Abowd, Lars
Vilhuber, presented at UNECE/Eurostat Statistical Data Confidentiality
Work Session 2015
- "DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems" with Xi He, Graham Cormode, Cecilia Procopiuc, Divesh Srivastava accepted at VLDB 2015 vol 8(11).
- "Designing Statistical Privacy for your Data" with Dan Kifer published by Communications of the ACM (Mar 2015)
- "MarkIt: Privacy Markers for Protecting Visual Secrets" with Nisarg Raval, Landon Cox, Animesh Srivastava and Kiron Lebeck accepted at Upside (UbiComp 2014)
- "Blowfish Privacy" with Xi He and Bolin Ding published at SIGMOD 2014
Short Bio: My
research interests lie in privacy in statistical databases, privacy in
augmented reality systems, and systems for massive data analytics. Previously, I was a Senior Research
Scientist at Yahoo! Research. My thesis was awarded the 2009 SIGMOD Jim Gray Dissertation Award, Honorable Mention.
Curriculum Vitae and full bio.
- Kiron Lebeck (BS) currently PhD candidate at U Washington
- Yoon Choi (BS)
- Bharat Chelapalli (MS) current @ Amazon
Prospective Students: I am primarily interested statistical privacy,
or the problem of disclosing aggregate statistics about data collected
from individuals, while ensuring that individuals level sensitive
properties are not disclosed. This problem appears in a number of
diverse application settings including in the US Census, social networks,
search logs, location
tracking, etc. Read one of the following articles to get an idea of my research: (ACM Crossroads article, no free lunch in privacy, CACM article, Blowfish privacy).
I am also interested in privacy of visual secrets in augmented reality
systems -- an evergrowing threat due to the popularity of camera driven
devices like smart phones and Google Glasses. Read this paper for an overview of our research.