题目：Privacy-preserved Network Data Publishing
报告人：陈雷 香港科技大学
地点：东五楼二楼210学术报告厅
时间：11月16日上午9：00

报告摘要：
　　The growing popularity of social networks has generated interesting data management and data mining problems. An important concern in the release of these data for study is their privacy, since social networks usually contain personal information. Simply removing all identifiable personal information (such as names and social security number) before releasing the data is insufficient. It is easy for an attacker to identify the target by performing different structural queries. In this talk, I first present a recent work, called k-automorphism, to protect against multiple structural attacks. Then, I will present a framework which provides privacy preserving services based on the user’s personal privacy requests. In the end, I would like to highlight some future work related to this topic.

报告人简介：
　　Lei Chen received the BS degree in computer science and engineering from Tianjin University, Tianjin, China, in 1994, the MA degree from Asian Institute of Technology, Bangkok, Thailand, in 1997, and the PhD degree in computer science from the University of Waterloo, Waterloo, Ontario, Canada, in 2005. He is currently an assistant professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. His research interests include probabilistic and uncertain databases, multimedia and time series databases, privacy-preserved data publishing, and sensor and p2p network data management. So far, he published more than 100 conference and journal papers. He got the best paper awards in DASFAA 2009 and 2010. He is a member of the ACM and IEEE. He also serves as the vice-chairman of ACM Hong Kong Chapter.