报告题目：Privacy-Preserving Data Sharing andAnalytics with Differential Privacy
报告日期及时间：2016年06月21日星期二，下午3：00
报告地点：计算机学院大楼B-404报告人：Li Xiong
报告人国籍：中国
报告人单位：美国埃默里大学
报告人简介：Li Xiong is a WinshipDistinguished Research Professor ofComputer Science (andBiomedical Informatics) at Emory University. She holds a PhD from GeorgiaInstitute of Technology, an MS from Johns Hopkins University, and a BS fromUniversity of Science and Technology of China, all in Computer Science. She andher research group, Assured Information Management and Sharing (AIMS), conductresearch that addresses both fundamental and applied questions at the interfaceof data privacy and security, spatiotemporal data management, and healthinformatics. She has published over 100 papers in premier journals andconferences including TKDE, VLDB, ICDE, CCS, and WWW, with three best paperawards. She currently serves as associateeditor for IEEE Transactions on Knowledge and Data Engineering (TKDE) andregularly serves on program committees for data management and data securityconferences. She is a recipient of aWoodrow Wilson Fellowship and industry awards from Google, IBM, and Cisco. Her research is supported by NSF, NIH, AFOSR(Air Force Office of Scientific Research), and PCORI (Patient-Centered OutcomesResearch Institute).
报告摘要：While “Big Data” promises significanteconomic and social benefits, it also raises increasing privacy concerns. The traditional de-identification approach is subject to variousre-identification and disclosure risks and does not provide sufficient privacyprotection. In this talk, I will give anoverview of our work on privacy preserving data sharing and analytics with thestate-of-art differential privacy framework. I will present several technical solutions for handing different typesof data including relational, sequential, and time series data with variousdata mining applications. I will alsopresent case studies using medical and spatiotemporal data to demonstrate thefeasibility as well as challenges of applying the differential privacyframework for biomedical and spatiotemporal applications.
邀请人：王骞教授
