主讲人：Li Xiong
时 间：2014 年 8 月 12 日（周二）上午 10:15-11:15
地 点：张江校区 软件楼 102 第二会议室
联系人：王晓阳（xywangCS@fudan.edu.cn）
Abstract:
Crowd sensing and data surveillance are gradually integrated into an inseparable part of our society and enable many applications ranging from syndromic surveillance to traffic monitoring. While such individual contributed “Big Data” promises significant economic and social benefits, it also raises serious privacy concerns. In this talk, I will present our PREDICT project for PRivacy Enhancing Dynamic Information Collection and moniToring focusing on two challenges: 1) how to protect location privacy of data contributors for crowd sensing based data collection, and 2) how to protect privacy of individual data subjects when sharing the collected data for real time monitoring and analytics. I will present several novel solutions for privacy preserving sensing task assignment and spatio-temporal data monitoring with the state-of-the-art differential privacy guarantee and conclude with open questions.
Bio:
Li Xiong is an Associate Professor in the Department of Mathematics and Computer Science and the Department of Biomedical Informatics at Emory University where she directs the Assured Information Management and Sharing (AIMS) research group. She holds a PhD from Georgia Institute of Technology, an MS from Johns Hopkins University, and a BS from University of Science and Technology of China, all in Computer Science. She also worked as a software engineer in IT industry for several years prior to pursuing her doctorate. Her areas of research are in data privacy and security, data management, and biomedical informatics. She has published more than 70 research papers with a best paper award and a best student paper award. Her research is supported by the National Science Foundation (NSF), the Air Force Office of Scientific Research (AFOSR), the Woodrow Wilson Foundation, and industry awards including a Cisco Research Award and an IBM Faculty Innovation Award.
