[Busec] busec this week: Omer Paneth (Mon 9.30am), Ben Fuller (Tues 2.30pm)
goldbe at cs.bu.edu
Sun Nov 23 23:26:07 EST 2014
Reminder for tomorrow's busec seminar, where Omer Paneth will be explaining
recent work on the first candidate construction of obfuscation for all
*** Note unusual time! Omer's talk is at 9.30am on Monday ***
Also, on Tuesday, Ben Fuller will have his PhD Defense (on key derivation
from noisy sources). Abstracts below.
See you there!
BUsec Calendar: http://www.bu.edu/cs/busec/
BUsec Mailing list: http://cs-mailman.bu.edu/mailman/listinfo/busec
The busec seminar gratefully acknowledges the support of BU's Center for
Reliable Information Systems and Cyber Security (RISCS).
Candidate Construction of Obfuscation for all Circuits
Omer Paneth, BU.
Monday November 24, 2014, 9:30am – 11:00am
Hariri Seminar Room, MCS180
Last year Garg, Gentry, Halevi, Raykova, Sahai and Waters [FOCS 2013]
presented the first candidate construction of obfuscation for all circuits.
I will describe a variant of this construction and give a security proof
in the generic graded encoding model based on [Garg et. al. EUROCRYPT 2014].
Links to papers:
PhD Defense: Strong Key Derivation from Noisy Sources
Ben Fuller, BU
Tuesday, November 25, 2014 at 2:30pm
MCS 180 – Hariri Institute
A shared cryptographic key enables strong authentication. Candidate
sources for creating such a shared key include biometrics and physically
unclonable functions. However, these sources come with a substantial
problem: noise in repeated readings.
A fuzzy extractor produces a stable key from a noisy source. For many
sources of practical importance, traditional fuzzy extractors provide no
meaningful security guarantee. This dissertation improves fuzzy extractors.
First, we show how to incorporate structural information about the physical
source to facilitate key derivation. Second, most fuzzy extractors work by
first recovering the initial reading from the noisy reading. We improve
key derivation by producing a consistent key without recovering the
original reading. Third, traditional fuzzy extractors provide
information-theoretic security. We build fuzzy extractors achieving new
properties by only providing security against computational bounded
Leonid Reyzin (Advisor and First Reader)
Ran Canetti (Second Reader)
Daniel Wichs (NEU, Third Reader)
Steve Homer (Committee Chair)
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