报告题目: Differential privacy and its applications

报告人：Tianqing Zhu 博士，Deakin 大学，澳大利亚

时间: 2017年10月28日 10:00-11:00

地点: 文津楼三段 622报告厅

Abstract: Differential privacy is one of the most prevalent privacy models as it provides a rigorous and provable privacy notion that can be implemented in various research areas. In this presentation, we will start with privacy breaches and privacy models, and introduce the basic concept of differential privacy. We then will forcus on the applications of differential privacy in various senarios in which we have been working on, including Location privacy, Recommender systems, Tagging systems, and Correlated datasets. We will then finalise the talk by outlining the privacy challenges in the era of big data.

报告人介绍; Dr Tianqing Zhu received her BEng and MEng degrees from Wuhan University, China, in 2000 and 2004, respectively, and a PhD degree from Deakin University in Computer Science, Australia, in 2014. Dr Tianqing Zhu is currently a Lecturer in the School of Information Technology, Deakin University, Melbourne, Australia. Before joining Deakin University, she served as a lecturer in Wuhan Polytechnic University, China from 2004 to 2011. Her research interests include privacy preserving, data mining and network security. She has won the best student paper award in PAKDD 2014 and was invited to give tutorials on differential privacy in PAKDD 2015 and SociaSec 2015.