题目：A Compressive Sensing based Privacy Preserving Collaborative Data Processing Framework
报告人：Wenjun (Kevin) Zeng, University of Missouri
地点：东五楼二楼210学术报告厅
时间：7月8号上午9点

报告摘要
　　It has been observed that in many real-world applications, multiple parties who provide data or computing resources need to collaborate to perform data processing/mining on a pool of private data sources. Privacy preservation is a critical issue in such application scenarios. In this talk, I will present a secure multiparty compressive sensing (CS) encryption framework for privacy-preserving collaborative data-processing in which data processing is performed in the encrypted CS domain with the CS matrix serving as the encryption key. The most significant advantage of the proposed framework is that it decouples the encryption/compression process from subsequent data processing, which results in a higher scalability and significantly reduces the computational and communication complexity when compared to other secure multiparty computation (SMC) protocols for privacy preserving data processing. I will illustrate a couple of applications of the proposed framework, including privacy preserving secure watermark detection and privacy preserving collaborative filtering.

报告人简介
　　Wenjun (Kevin) Zeng is a Full Professor with the Computer Science Department of University of Missouri (MU). He received his B.E., M.S., and Ph.D. degrees from Tsinghua Univ., the Univ. of Notre Dame, and Princeton Univ., respectively. His current research interest includes mobile-cloud media computing, social network/media analysis, cross-domain social-semantic learning, multimedia networking, distributed video coding, and content/network security.
　　Prior to joining MU in 2003, he had worked for PacketVideo Corp., Sharp Labs of America, Bell Labs, and Panasonic Technology. From 1998 to 2002, He was an active contributor to the JPEG 2000 and MPEG4 IPMP standard, where four of his proposals were adopted. He is/was an Associate Editor (AE) of IEEE Trans. on Circuits & Systems for Video Technology, IEEE Multimedia (currently an Associate EiC), IEEE Trans. on Information Forensics & Security, and IEEE Trans. on Multimedia (TMM), and is/was on the Steering Committee of IEEE Trans. on Mobile Computing (current) and IEEE TMM (2009-2012). He served as the Steering Committee Chair of IEEE Inter. Conf. Multimedia and Expo (ICME) in 2010 and 2011, and has served as the TPC co-Chair of the 2013 IEEE Inter. Workshop on Info. Forensics & Security, TPC Vice Chair of ICME 2009, the TPC Chair of the 2007 IEEE Consumer Communications & Networking Conference, the TPC Co-Chair of the Multimedia Comm. and Home Networking Sym. of IEEE ICC 2005. He was a Guest Editor (GE) of ACM TOMCCAP Special Issue on ACM MM 2012 Best Papers, a GE of the Proceedings of the IEEE’s Special Issue on Recent Advances in Distributed Multimedia Communications (January 2008) and the Lead GE of IEEE TMM’s Special Issue on Streaming Media (April 2004). He is a Fellow of the IEEE.