Call for Papers

International Workshop on Privacy-Preserving Data Analysis (PPDA)
April 21, 2009, Brisbane, Australia
http://www.cse.ust.hk/~raywong/ppda

to be held in conjunction with DASFAA 2009 (http://www.itee.uq.edu.au/~dasfaa/)

With the advancement of information technology and declining hardware price, organizations and companies are able to collect large amount of personal data. Moreover, advanced data analysis and mining techniques have been proposed to derived patterns hidden in data. However, the increasing power in data processing and analysis also raises concerns over the proper usage of personal information. It was found that a sensitive medical record was uniquely linked to a named voter record in a publicly available voter list through the shared attributes of Zip, Birth date and Sex. It is not surprising that many organizations are reluctant to disclose their data even when there may be great potential gains from the data exploration. Therefore research in the area of privacy preservation is deemed important for both theoretical and practical reasons. PPDA 2009 will be held in conjunction with DASFAA 2009 conference, and aims to bring together researchers in different fields related to privacy preserving data analysis and to provide a forum where researchers and practitioners can share and exchange their knowledge and experience.

PPDA 2009 will be published in a combined volume of Lecturer Notes in Computer Science series published by Springer. We invite original research contributions on generic and applied research on privacy. The PPDA 2009 topics of interest include but are certainly not limited to the following areas:

• Privacy Preserving Data Publishing
• Background Knowledge Formulation
• Privacy-Aware Access Control
• Privacy in Outsourced Databases
• Privacy in Spatial Databases
• Cryptographic Tools
• Privacy Preservation over Social Networks
• Privacy Preservation over Graphs
• Sequential Releases
• Privacy over Data Streams
• Protocol-based Privacy Preserving Data Mining
• Case Studies on Privacy Leakage on Real Applications
• Efficient Algorithm for Privacy Preservation
• Generalization-based Algorithm
• Perturbation-based Algorithm
• Statistical Databases
• Privacy-preserving Data Integration
• Privacy Evaluation and Metrics
• Privacy Models
• Privacy in Web environment and Business Environment
• Learning for Privacy Breach
• Threats to Privacy
• Watermarking
• Security and Semantic Web
• Data Hiding

Important Dates:

Full paper submission: Jan 12, 2009  23:59 (PST Time)
Acceptance Notification: Feb 28, 2009
Camera-ready copy: Mar 15, 2009

Submission:

Authors should submit papers reporting original works that are currently not under review or published elsewhere. The paper should be submitted in PDF format, with maximum length fifteen (15) pages, following Springer-Verlag's LNCS manuscript submission guidelines, available at http://www.springer.de/comp/lncs/authors.html. Please click here to enter our submission system.

Program Chairs:

Raymond Chi-Wing Wong,
The Hong Kong University of Science and Technology


Ada Wai-Chee Fu,
The Chinese University of Hong Kong

PC

• Claudio Bettini, University of Milan
• Chris Clifton, Purdue University
• Claudia Diaz, K.U.Leuven
• Josep Domingo-Ferrer, Rovira i Virgili University
• Elena Ferrari, University of Insubria
• Sara Foresti, University of Milan
• Benjamin C. M. Fung, Concordia University
• Christopher Andrew Leckie, The University of Melbourne
• Jiuyong Li, University of South Australia
• Jun-Lin Lin, Yuan Ze University
• Kun Liu, IBM Almaden Research Center
• Ashwin Machanavajjhala, Cornell University
• Bradley Malin, Vanderbilt University
• Nikos Mamoulis, Hong Kong University
• Wee Keong Ng, Nanyang Technological University
• Jian Pei, Simon Fraser University
• Yucel Saygin, Sabanci University
• Jianhua Shao, Cardiff University
• Yufei Tao, the Chinese University of Hong Kong
• Vicenc Torra, Universitat Autonoma de Barcelona
• Carmela Troncoso, K.U.Leuven
• Hua Wang, University of Southern Queensland
• Ke Wang, Simon Fraser University
• Sean Wang, University of Vermont
• Duminda Wijesekera, George Mason University
• Xintao Wu, University of North Carolina at Charlotte
• Jeffrey Yu, the Chinese University of Hong Kong
• Philip S. Yu, University of Illinois at Chicago