Mercoledì, 7 Marzo, 2018

Si terrà il giorno 12 aprile 2018 nell'Aula magna del DIAG il seminario: The confounding problem of private data release

Titolo: The confounding problem of private data release
Speaker: Prof. Divesh Srivastava
Luogo: Aula Magna DIAG
Data: Gio, 12/04/2018 - 12:00
Contatto: Tiziana Catarci

In our Big Data era, as data-driven decision making sweeps through all
aspects of society, the demands to make useful data available are growing
ever louder.   For example, the ubiquity of GPS-enabled devices has
resulted in a wealth of data about the movements of individuals and
populations, which can be analyzed for useful information to aid in city and
traffic planning, disaster preparedness, and so on.  But the problem of
releasing such data without disclosing confidential information, such as the
places people visit, is a subtle and difficult one.  Is “private data
release” an oxymoron?   This talk will delve into the motivations of
private data release, explore the challenges, and outline some of the
historical and recent approaches developed in response to this confounding

*Speaker Bio*: Divesh Srivastava is the head of Database Research at AT&T
Labs-Research. He is a Fellow of the Association for Computing Machinery
(ACM), the Vice President of the VLDB Endowment, and the managing editor of
the Proceedings of the VLDB Endowment (PVLDB).  He has served as an
associate editor of the ACM Transactions on Database Systems (TODS), and as
an associate Editor-in-Chief of the IEEE Transactions on Knowledge and Data
Engineering (TKDE).  He has presented keynote talks at several international
conferences, and his research interests and publications span a variety of
topics in data management.  He received his Ph.D. from the University of
Wisconsin, Madison, USA, and his Bachelor of Technology from the Indian
Institute of Technology, Bombay, India.

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