Department of Computer Science
D329, Levine Research Science Building
Durham NC 27708
- [May 2017] SIGMOD 2017: We have a tutorial on differential
privacy, two papers (Sam Haney's utility cost of privacy and Ios Kotsogiannis' Pythia), and a demo (on Pythia) accepted!
- [Apr 2017] L-Diversity will
receive the 2017 IEEE ICDE Influential paper award!
- [Apr 2017] Xi He awarded a 2017
Google PhD Fellowship in Privacy and Security.
- [Mar 2017] I was invited to speak
at the Center for Research on Computation and Society (CRCS) at Harvard
- [Jan 2017] I was invited to moderate a breakout session on building differentially private systems:
opportunities and challenges at the NSF Security and
Trustworthy Computing (SaTC) PI Meeting.
- [Dec 2016] Yan Chen's paper on differentially
private regression diagnostics at ICDM 2016 selected as one of the best papers at the conference
(and invited for publication in KAIS journal).
- [Dec 2016] I was invited to speak at the 2016 Federal
Committee on Statistical Methodology (FCSM) Policy Conference.
- [Sep 2016] We presented a tutorial,
a talk and
a demo (awarded "Best Demo"!)
on differential privacy at
VLDB 2017 in New Delhi, India
- [Aug 2016] DPComp.org is
now public: explore differentially
private algorithms and their performance.
- "Utility Cost of
Formal Privacy for Releasing National Employer-Employee Statistics",
with Samuel Haney, John
Abowd, Matthew Graham, Mark Kutzbach, Lars Vihuber accepted at SIGMOD 2017
- "Directed Edge Recommendation Systems", with Ios Kotsogiannis and Elena Zheleva
accepted at WSDM 2017
- "Pythia: Data Dependent
Differentially Private Algorithm Selection", with Ios Kotsogiannis, Michael Hay and
Gerome Miklau accepted at SIGMOD 2017
private regression diagnostics", with Yan Chen, Jerome Reiter and Andres
Barrientos accepted at ICDM 2016
- "Ayumu: Efficient
lifelogging with focused tasks", with Ben Stoddard, Kate O'Hanlon, Brian
Lin and Landon Cox accepted at MOBICASE
- "What You
Mark is What Apps See", with Nisarg
Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Landon Cox,
- "Principled evaluation of differentially private algorithms using
DPBench", with Michael Hay, Gerome Miklau, Dan Zhang, Yan Chen, SIGMOD 2016 [arxiv]
of Policy-Aware Differentially Private Algorithms" with Sam Haney and Bolin Ding, VLDB 2016 vol 9.
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
and full bio.
- Kiron Lebeck
(BS) currently PhD candidate at U Washington
- Yoon Choi (BS)
- Annie Xie (Senior, NCSSM)
- Bharat Chelapalli (MS) current @ Amazon
Prospective Students: I am
primarily interested statistical
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
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
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.