Speaker: 北卡州立大学Ting Yu教授学术报告
Title : Data Anonymization: The Challenge from Theory to Practice
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.