Content Gazette - September 2014 - 21

CALL FOR PAPERS
IEEE Signal Processing Society
IEEE Journal of Selected Topics in Signal Processing

Special Issue on Signal and Information Processing for Privacy
Aims and Scope
There has been a remarkable increase in the usage of communications and information technology over the past decade. Currently, in the backend
and in the cloud, reside electronic repositories that contain an enormous amount of information and data associated with the world around us.
These repositories include databases for data-mining, census, social networking, medical records, etc. It is easy to forecast that our society will
become increasingly reliant on applications built upon these data repositories. Unfortunately, the rate of technological advancement associated
with building applications that produce and use such data has significantly outpaced the development of mechanisms that ensure the privacy of
such data and the systems that process it. As a society we are currently witnessing many privacy-related concerns that have resulted from these
technologies-there are now grave concerns about our communications being wiretapped, about our SSL/TLS connections being compromised,
about our personal data being shared with entities we have no relationship with, etc. The problems of information exchange, interaction, and
access lend themselves to fundamental information processing abstractions and theoretical analysis. The tools of rate-distortion theory, distributed
compression algorithms, distributed storage codes, machine learning for feature identification and suppression, and compressive sensing and
sampling theory are fundamental and can be applied to precisely formulate and quantify the tradeoff between utility and privacy in a variety of
domains. Thus, while rate-distortion theory and information-theoretic privacy can provide fundamental bounds on privacy leakage of distributed
data systems, the information and signal processing techniques of compressive sensing, machine learning, and graphical models are the key
ingredients necessary to achieve these performance limits in a variety of applications involving streaming data, distributed data storage (cloud),
and interactive data applications across a number of platforms. This special issue seeks to provide a venue for ongoing research in information
and signal processing for applications where privacy concerns are paramount.
Topics of Interest include (but are not limited to):
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Signal processing for information-theoretic privacy

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Signal processing techniques for access control with privacy guarantees in distributed storage systems
Distributed inference and estimation with privacy guarantees
Location privacy and obfuscation of mobile device positioning
Interplay of privacy and other information processing tasks
Formalized models for adversaries and threats in applications where consumer and producer privacy is a major concern
Techniques to achieve covert or stealthy communication in support of private communications
Competitive privacy and game theoretic formulations of privacy and obfuscation
Important Dates:

Manuscript submission due: October 1, 2014
First review completed: December 15, 2014
Revised manuscript due: February 1, 2015
Second review completed: March 15, 2015
Final manuscript due: May 1, 2015
Publication date: October 2015
Prospective authors should visit http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ for information on paper submission.
Manuscripts should be submitted using Manuscript Central at http://mc.manuscriptcentral.com/jstsp-ieee.
Wade Trappe 
Rutgers University, USA 
trappe@winlab.rutgers.edu  
Heejo Lee 
Korea University, Korea 
heejo@korea.ac.kr 

Lalitha Sankar
Arizona State University, USA 
lalithasankar@asu.edu 
Srdjan Capkun
ETH‐Zurich 
srdjan.capkun@inf.ethz.ch

www.signalprocessingsociety.org

[21]

Radha Poovendran 
University of Washington, USA 
rp3@u.washington.edu 

SEPTEMBER 2014
http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ http://mc.manuscriptcentral.com/jstsp-ieee http://www.signalprocessingsociety.org
Table of Contents for the Digital Edition of Content Gazette - September 2014
