CFP: 2nd IEEE Intl. Workshop on Privacy Aspects of Data Mining (PADM 2010)

[PADM 2010]

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Call for Papers --- PADM 2010

2nd IEEE International Workshop on Privacy Aspects of Data Mining
(in conjunction with ICDM 2010, December 13, 2010, Sydney,
Australia)
http://www.zurich.ibm.com/padm2010/
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** Overview **

The collection, analysis and sharing of person-specific data for
publication or data mining, raise serious concerns about the privacy
of individuals who are represented in the data, as well as the
sensitive knowledge patterns that can be exposed when mining the data.
To address these concerns, the domain of privacy preserving data
mining was brought into existence almost a decade ago. Since then, a
wide variety of methodologies for privacy aware data sharing and
integration, privacy preserving data publication and privacy
preserving data mining, have been developed. Although significant
research on this domain has been conducted over the last years, there
are still many challenges that require further investigation both from
a theoretical and from a practical point of view. First of all,
emerging research areas, such as stream mining, mobility data mining
and social network analysis, require new theoretical and applied
techniques for the offering of privacy. Second, there is an urging
need for privacy methodologies that can offer guarantees about the
level of achieved data quality and utility, and thus be suitable for
data demanding applications, such as biomedical and healthcare
studies, location based services and e-commerce. Third, the
integration or linkage of data in a privacy preserving manner along
with the privacy aware collaborative mining of data require further
stimulus to provide scalable methodologies on very large datasets and
large number of parties, while offering a high level of privacy.

PADM will be a full-day workshop that will be held in conjunction with
the IEEE ICDM 2010 conference in Sydney, Australia. Following last
year's event, PADM 2010 will seek submissions that cover state-of-the-
art research on privacy and security aspects of data mining, with
particular focus on the applications of privacy and security in
emerging domains.


** Topics of interest **

The workshop’s topics of interest include, but are not limited to, the
following areas:

* Biomedical and healthcare data mining privacy
* Cryptographic approaches for privacy preserving data mining
* Data mining for intrusion detection, fraud and identity theft
prevention
* Privacy preserving data publishing and anonymity
* Knowledge hiding methodologies
* Inference and disclosure control for data mining
* Privacy in e-commerce and user profiling
* Privacy aware access control
* Privacy and security when mining outsourced data
* Privacy aspects of ubiquitous computing systems
* Privacy policy infrastructure, enforcement, and analysis
* Privacy preserving link and social network analysis
* Privacy preserving data integration and record linkage
* Privacy threats due to data mining
* Security and privacy issues in mobility and spatiotemporal data
mining
* Link and friend-of-a-friend (FOAF) mining for trust
* Efficiency improvements to known privacy preserving analytics
algorithms
* Case studies of practical privacy preserving data analytics


** Important dates **

* Workshop paper submission deadline: July 23, 2010
* Workshop paper acceptance notification: September 20, 2010
* Workshop paper camera-ready deadline: October 11, 2010


** Organizing committee **

Workshop chairs

Aris Gkoulalas-Divanis, IBM Research Zurich, Switzerland
Kun Liu, Yahoo! Research Labs, California, USA
Vassilios S. Verykios, University of Thessaly, Greece
Ran Wolff, Haifa University, Israel


Program committee members

Peter Christen, Australian National University, Australia
Maria-Luisa Damiani, Universita degli Studi di Milano, Italy
Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia
Wenliang (Kevin) Du, Syracuse University, USA
Elena Ferrari, University of Insubria, Italy
Tyrone Grandison, IBM Almaden Research Center, USA
Wei Jiang, Missouri University of Science and Technology, USA
Panos Kalnis, King Abdullah University of Science and Technology,
Saudi Arabia
Murat Kantarcıoğlu, University of Texas at Dallas, USA
Guenter Karjoth, IBM Research - Zurich, Switzerland
Kristen LeFevre, University of Michigan, USA
Grigorios Loukides, Vanderbilt University, USA
Bradley Malin, Vanderbilt University, USA
Taneli Mielikainen, Nokia Research Center, USA
Gerome Miklau, University of Massachusetts, Amherst, USA
Mohamed Mokbel, University of Minnesota, USA
Jian Pei, Simon Fraser University, Canada
Yucel Saygin, Sabanci University, Turkey
Evimaria Terzi, Boston University, USA
Jaideep Vaidya, Rutgers University, USA
Xintao Wu, University of North Carolina at Charlotte, USA


** Submission guidelines **

Paper submissions should be limited to a maximum of 10 pages in the
IEEE 2-column format (http://www.computer.org/portal/web/cscps/
formatting). All papers will be double-blind reviewed by the Program
Committee on the basis of technical quality, relevance to data mining,
originality, significance, and clarity. Papers that have already been
accepted or are currently under review for other conferences or
journals will not be considered for PADM 2010.

The authors of a small number of selected (best) papers from the
workshop will be invited to prepare a substantially revised and
extended version of their work for publication to a special issue of a
journal.