Call for Participation - PADM09

CALL FOR PARTICIPATION PADM'09: 2009 IEEE International Workshop on Privacy Aspects of Data Mining: From Theory to Practice A full-day workshop at the 9th IEEE International Conference on Data Mining (ICDM 2009) When: December 6th, 2009 Where: Miami, FL, USA URL: http://cs.utdallas.edu/padm09/index.html DETAILED PROGRAM [8:45 - 9:00] Opening Remarks [9:00 - 10:00] Keynote Talk: Prof. Yucel Saygin, Sabanci University [10:00 - 10:30] Coffee break [10:30 - 12:00] Session I: Application of Differential Privacy * Geetha Jagannathan, Krishnan Pillaipakkamnatt, and Rebecca Wright: A Practical Differentially Private Random Decision Tree Classifier * Darakhshan Mir and Rebecca Wright: A Differentially Private Graph Estimator * Duy Vu and Aleksandra Slavkovic: Differential Privacy for Clinical Tria Data: Preliminary Evaluations [12:00 - 13:30] Lunch [13:30 - 15:00] Session II: Privacy preserving data mining and anonymization * Michal Sramka, Reihaneh Safavi-Naini, and Joerg Denzinger: An Attack on the Privacy of Sanitized Data That Fuses the Outputs of Multiple Data Miners * Piotr Andruszkiewicz: Privacy Preserving Classification with Emerging Patterns * Jacob Goldberger and Tamir Tassa: Efficient Anonymizations with Enhanced Utility [15:00 - 15:30] Break [15:30 - 17:00] Panel: "Privacy in Databases: From Theory to Practice" Participants: Reid Cushman Assistant Professor Department of Medicine, University of Miami http://www6.miami.edu/ethics/Faculty_staff/cushman.html Michael Froomkin Professor of Law University of Miami http://www.law.tm/ Brad Malin Assistant Professor of Biomedical Informatics & Computer Science Vanderbilt University http://www.hiplab.org/people/malin Dino Pedreschi Professor of Computer Science University of Pisa http://www.di.unipi.it/~pedre/ BRIEF DESCRIPTION The field of computer science has evolved to incorporate intrinsically complex social, organizational, and political environments in which computers are situated. Nowhere is this more apparent, and the influence of data mining professionals more necessary, than in the often debated arena of privacy. There is an ever-increasing demand for the incorporation of new technologies to collect, analyze, and share data on people for a variety of worthwhile endeavors. However, the traditional knowledge discovery process is often at odds with an individual's civil liberties or expectations of privacy. As such, many governments are struggling to set national and international policies on privacy for data mining endeavors. The result is the relationship between privacy and data mining has received significant attention in the popular media. Computer science research communities, and data mining in particular, have increasingly focused on addressing the seemingly conflicting requirements for privacy and knowledge discovery. From a methodological perspective, computer scientists have proposed various statistical, cryptographic, and databases processing approaches that enable data mining goals without sacrificing the privacy of the individuals to whom the data corresponds. In industry, we have witnessed major corporations, many of which are key supporters of data mining allocating significant resources to study and develop commercial products that address these issues. These efforts have only scratched the surface of the problem-space, and there remain many open research issues for further investigation. While the issues are grounded in the real-world and concern academia, industry, government, and society in general, we have yet to witness significant technology transfer and the application of such techniques to real world environments remains limited. Clearly, there remain significant opportunities and challenges for the design and evaluation of privacy respective data mining applications. In this workshop, we welcome novel research addressing these challenges. INQUIRY Any questions regarding the workshop should be directed to the organizers at padm09@utdallas.edu