The 7th International Workshop on

Privacy and Anonymity in the Information Society (PAIS)

March 28, 2014, Athens (Greece)

Collocated with EDBT/ICDT 2014

Invited Talks
Dr. Murat Kantarcioglu and Dr. Ting Yu are the invited speakers for PAIS 2014.

Presenter: Dr. Murat Kantarcioglu
Title: A Hybrid Approach for Privacy-preserving Record Linkage
Download slides

Abstract: The integration of information dispersed among multiple repositories is a crucial step for accurate data analysis in various domains. In support of this goal, it is critical to devise procedures for identifying similar records across distinct data sources. At the same time, to adhere to privacy regulations and policies, such procedures should protect the confidentiality of the individuals to whom the information corresponds. Various private record linkage (PRL) protocols have been proposed to achieve this goal, involving secure multi-party computation (SMC) and similarity preserving data transformation techniques. SMC methods provide secure and accurate solutions to the PRL problem, but are prohibitively expensive in practice for large data sets, mainly due to excessive computational requirements. Data transformation techniques offer more practical solutions, but incur the cost of information leakage and false matches.
In this talk, we discuss how the performance of SMC based PRL techniques could be significantly improved by combining them with data sanitization techniques without incurring the cost of information leakage and false matches. Furthermore, we discuss how to efficiently handle typographical errors exist in data during the PRL protocol execution.

Bio: Dr. Murat Kantarcioglu is an Associate Professor in the Computer Science Department and Director of the UTD Data Security and Privacy Lab at the University of Texas at Dallas. He holds a B.S. in Computer Engineering from Middle East Technical University, and M.S. and Ph.D degrees in Computer Science from Purdue University. He is a recipient of NSF CAREER award and Purdue CERIAS Diamond Award for Academic excellence. Currently, he is a visiting scholar at Harvard Data Privacy Lab.
Dr. Kantarcioglu's research focuses on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security. His research has been supported by grants from NSF, AFOSR, ONR, NSA, and NIH. He has published over 100 peer reviewed papers. Some of his research work has been covered by the media outlets such as Boston Globe, ABC News etc. and has received two best paper awards.

Presenter: Dr. Ting Yu
Title: Data Anonymization: The Challenge from Theory to Practice
Download slides

Abstract: Data anonymization is an important technique for privacy protection when sensitive data are shared between organizations and with the public. Significant advances have been made in data anonymization in recent years, in terms of privacy models, anonymization algorithms and applications. Meanwhile, though we have seen quite a few instances where privacy is violated due to unsuccessful ad hoc anonymization schemes, many advanced techniques developed in the research community seem to have a hard time to be accepted and adopted in practice. In this talk, we will first provide a quick overview of the research development in data anonymization, and then discuss practical concerns and challenges to successfully apply these techniques in specific application domains.

Bio: Ting Yu is an associate professor in the Department of Computer Science of North Carolina State University, and a senior scientist in the cyber security group of Qatar Computing Research Institute (QCRI). His main research areas are in data privacy and anonymization, trustworthy information in open systems and trust management. He obtained his Ph.D. in computer science from the University of Illinois at Urbana Champaign in 2003. Ting Yu is a recipient of the NSF CAREER Award in 2007 for trust and privacy management in social networks, and a recipient of the scholarship of K.C. Wong Education Foundation, Hong Kong in 2010.