[Crib-list] SPEAKERS: MIRIAM LEESER and STRATIS IOANNIDIS (Northeastern Univ.) | CRIBB Seminar | Friday, October 6, 2017 | TIME: 12:00 PM - 1:00 PM | STATA - Building 32, Room D463

[Shirley Entzminger]

 		   COMPUTATIONAL RESEARCH in BOSTON and BEYOND SEMINAR


DATE:		Friday, OCTOBER 6, 2017
TIME:		12:00 PM  1:00 PM
LOCATION:	Building 32, Room D463  (Note location)

 		STATA
 		32 Vassar Street, Cambridge

     Pizza and beverages will be provided at 11:45 AM outside Room 32-D463.



TITLE:		Practical, Secure Function Evaluation at Scale


SPEAKERS:	MIRIAM LEESER and STRATIS IOANNIDIS (Northeastern Univ.)



ABSTRACT:

Secure Function Evaluation (SFE) allows an interested party to evaluate a 
function over private data without learning anything about the inputs 
other than the outcome of this computation.  This offers a strong privacy 
guarantee: SFE enables, e.g., a medical researcher, a statistician, or a 
data analyst, to conduct a study over private, sensitive data, without 
jeopardizing the privacy of the study's participants (patients, online 
users, etc.). Nevertheless, applying SFE to big data poses several 
challenges.  First, beyond any computational overheads due to encryptions, 
executing an algorithm securely may lead to a polynomial blowup in the 
total work compared to execution in the clear.  Second, secure evaluations 
of algorithms should maintain parallelizability: an algorithm that is easy 
to parallelize in the clear should also maintain this property in its SFE 
version, if its execution is to scale.

In this talk, we describe Garbled Circuits (GCs), a technique for 
implementing SFE that can be applied to any problem that can be described 
as a Boolean circuit.  We then describe recent advances in the parallel 
execution of GCs for several machine learning algorithms such as page 
rank, matrix factorization, and training neural networks.  We address 
issues of scalability both by running GCs on clusters of machines as well 
as applying FPGAs in the datacenter to accelerate the processing.


BIOS:

Miriam Leeser is Professor and Interim Chair of Electrical and Computer 
Engineering at Northeastern University.  Her research interests include 
application acceleration with Field Programmable Gate Arrays (FPGAs) and 
Graphics Processing Units (GPUs), programming paradigms for heterogeneous 
computers, computer arithmetic and reproducibility in higher performance 
computing. She received her BS degree in Electrical Engineering from 
Cornell University, and Diploma and Ph.D. Degrees in Computer Science from 
Cambridge University in England.  After completion of her Ph.D., she 
joined the faculty of Cornell University, Department of Electrical 
Engineering.  In January, 1996 she joined the faculty of Northeastern 
University, where she is head of the Reconfigurable and GPU Computing 
Laboratory and a member of the Computer Engineering group.  She is a 
senior member of ACM, a senior member of IEEE and a senior member of SWE.

Stratis Ioannidis is an assistant professor in the Electrical and Computer 
Engineering Department of Northeastern University, in Boston, MA, where he 
also holds a courtesy appointment with the College of Computer and 
Information Science. He received his B.Sc. (2002) in Electrical and 
Computer Engineering from the National Technical University of Athens, 
Greece, and his M.Sc. (2004) and Ph.D. (2009) in Computer Science from the 
University of Toronto, Canada. Prior to joining Northeastern, he was a 
research scientist at the Technicolor research centers in Paris, France, 
and Palo Alto, CA, as well as at Yahoo Labs in Sunnyvale, CA.


===================================================================

Massachusetts Institute of Technology
Cambridge, MA


For information about the Computational Research in Boston and Beyond Seminar, 
please visit...

 			http://math.mit.edu/crib/



===
Shirley A. Entzminger
Administrative Assistant II
Department of Mathematics
Massachusetts Institute of Technology
77 Massachusetts Avenue
Building 2, Room 350A
Cambridge, MA 02139
PHONE:	(617) 253-4347
FAX:	(617) 253-4358
E-mail:	daisymae at math.mit.edu
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