SHARE: Statistical and Synthetic Health Information Release Under Differential Privacy


Fri Feb 15, 2013


Dr. Li Xiong
Emory University


Privacy Technology





Protecting privacy of human subjects while enabling large-scale analysis of clinical and public health data is a key challenge in health research. In this talk, I will present the SHARE (Statistical Health informAtion RElease) framework for releasing statistical and synthetic health data under differential privacy. I will introduce techniques for handing different types of data including relational, high dimensional, longitudinal, and time series data. I will present case studies using real public health datasets and discuss the feasibility as well as challenges of applying the differential privacy framework on biomedical data.



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, distributed data management, and bio and health informatics. She is a recent recipient of the Career Enhancement Fellowship by Woodrow Wilson Foundation. Her research is supported by NSF, AFOSR, a Cisco Research Award, and an IBM Faculty Innovation Award.


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