Secure and Private Data Management

Speaker:        Dr. Stavros Papadopoulos
                Department of Computer Science and Engineering
                Hong Kong University of Science and Technology

Title:          "Secure and Private Data Management"

Date:           Wednesday, 27 March 2013

Time:           4:00pm - 5:00pm

Venue:          Room 1504 (opposite to LT-G, near lifts 25/26), HKUST

Abstract:

The recent explosion of data being collected, processed and disseminated
in a variety of applications, typically referred to as the 'big data'
phenomenon, has given rise to numerous data security and privacy issues.
This talk will cover the speaker's work on two topics of secure and
private data management. The first focuses on query authentication in
streaming applications, where the storage and administration of massive
data streams are outsourced to an untrustworthy server. The goal is to
provide result integrity assurance to the clients. Solutions based on
sophisticated cryptographic techniques will be demonstrated. The second
topic focuses on privacy-preserving data publication, where high-volume
user statistics are published for advertising or research purposes. The
goal is to prevent information inference about any individual
participating in the statistical process, while ensuring the quality of
the published statistics. Schemes based on the e-differential privacy
paradigm will be described.

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Biography:

Dr. Stavros Papadopoulos is a Visiting Assistant Professor of Computer
Science and Engineering, at the Hong Kong University of Science and
Technology (HKUST). Prior to joining HKUST in 2011, he was a post-doctoral
researcher at the Chinese University of Hong Kong. He holds a Ph.D. degree
in Computer Science from HKUST. His research interests include
authenticated query processing, private information retrieval, private
proximity testing, privacy-preserving data publishing, and searchable
encryption.