Workshop II: Locally decodable codes, private information retrieval, privacy-preserving data-mining, and public key encryption with special properties
October 25 - 28, 2006
Hotel Accommodation and Air Travel
Organizing Committee:
Dan Boneh
(Stanford University)
Yuval Ishai
(Technion - Israel Institute of Technology)
Jonathan Katz
(University of Maryland)
Eyal Kushilevitz
(Technion - Israel Institute of Technology)
Rafail Ostrovsky
(UCLA)
Scientific Background
This workshop tries to bring together several related areas. We list them
below:
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Recently, a remarkable connection was established between two
initially unrelated communities: the community of mathematicians working
on error-correcting codes and the community of people exploring private
information-retrieval (PIR) protocols. Roughly, these are protocols that
allow you to retrieve information from databases while preserving privacy.
A strong connection between coding theory and PIR protocols (as well as
PCP) was established-where better bounds in one area lead to strong bounds
in the other. The goal of this topic is to bring together two communities,
and facilitate the exchange of ideas, tools, and terminology that will
allow further collaboration.
-
In the 1980s and 1990s, basic notions of public-key encryptions were
developed and understood. In today's applications, however, additional
requirements are needed, such as operations on encrypted data. How do we
search on encrypted data, determine winners of encrypted election votes,
or have more complicated "identity-based" encryption schemes? There are
many answers that are known, however a wide number of unresolved issues
remain. At their core, many of the cryptographic protocols can be
formulated as specific problems in computational number theory. This topic
will bring together cryptographers and number theorists to formulate
problems needed for these applications and explore the strength of the
underlying hardness assumptions needed.
-
Over the last two decades cryptographic tools have been developed to
preserve individual and group privacy. These tools go beyond mere
encryption. For example, if an eavesdropper learns that a medical patient
accesses a database on HIV testing, this information alone, even if all
information is encrypted, reveals certain information about the user. The
issue of preserving individual privacy and anonymity without impairing the
ability to use various web resources, is an important building block in
making cyber-infrastructure secure and more usable. In this workshop we'll
also bring together both experts in various forms of privacy and anonymity
issues, and users who are looking for particular applications-ranging from
privacy-preserving data-mining to patient privacy. It is also our goal to
expose the main technical challenges, and the underlying mathematical
tools needed to solve these challenges.
Speakers
Adi Akavia
(Massachusetts Institute of Technology)
Amos Beimel
(Ben Gurion University of the Negev)
Dan Boneh
(Stanford University)
Ronald de Wolf
(CWI, Amsterdam & Math Inst, Leiden
University)
Zeev Dvir
(Weizmann Institute of Science)
Cynthia Dwork
(Microsoft Research)
Iftach Haitner
(Weizmann Institute of Science)
Yuval Ishai
(Technion - Israel Institute of Technology)
Yael Kalai
(Massachusetts Institute of Technology)
Seny Kamara
(Johns Hopkins University)
Jonathan Katz
(University of Maryland)
Iordanis Kerenidis
(Centre National de la Recherche Scientifique (CNRS))
Tal Malkin
(Columbia University)
Moni Naor
(Weizmann Institute of Science)
Kobbi Nissim
(Ben Gurion University of the Negev)
Rafail Ostrovsky
(UCLA)
Benny Pinkas
(Haifa University)
Alex Samorodnitsky
(Hebrew University)
William Skeith
(UCLA)
Adam Smith
(UCLA)
Luca Trevisan
(UC Berkeley)
Brent Waters
(SRI International)
Stephanie Wehner
(CWI, Amsterdam & Math Inst, Leiden
University)
David Woodruff
(Massachusetts Institute of Technology)
Rebecca Wright
(Stevens Institute of Technology)
Sergey Yekhanin
(Massachusetts Institute of Technology)
Contact Us:
Institute for Pure and Applied Mathematics (IPAM)
Attn: SCWS2
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website:
http://www.ipam.ucla.edu/programs/scws2/
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