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信息安全实验室邀请澳大利亚Deakin大学朱天清老师做学术交流

(2015-09-01 17:24:38)
标签:

差分隐私

教育

学术交流

华中科技大学

分类: 科学研究
     2015.7.9 信息安全实验室邀请澳大利亚Deakin大学朱天清老师做学术交流。朱老师武汉大学硕士毕业,在澳大利亚Deakin大学取得博士学位后留校任教,研 究方向为网络安全以及隐私保护,学术研究方面进展不错。本次报告主题为“差分隐私及其在社交网络中的应用”。
    朱老师于当日下午在学院会议室做学术交流,信息安全相关专业的老师同学都踊跃参与。一博士生研究方向正好为“查分算法”,在报告后与老师做了长久交流。不少老师也提出各种问题,共同探讨。
 
交流现场图片节选:



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http://s12/mw690/003av6eozy6V5MpiUVd7b&690

学术交流通知:

时间:2015.7.9 周四下午3:00 
地点:南一楼四楼学院会议室
  
Title: Differential Privacy and Social Network Applications

Presenters:
Dr Tianqing Zhu
School of Information Technology
Deakin University, Melbourne, Australia
Email: t.zhu@deakin.edu.au.

Abstract:
    Differential privacy has become an important research area since the first publication on information disclosure in 2006. Since then,  extensive work has been done to develop this new concept because it constitutes a rigorous and provable privacy notion that can be implemented  in various research areas. In this presentation, I will start with introducing the basic concept of differential privacy and several scenarios  on which it can be used for data release and analysis. Based on these scenarios, I then focus on two major research directions, differential  privacy data release and differential privacy data analysis. Among them, differential privacy data release has been focused on how to modify the  original dataset or the queries with the guarantee of differential privacy while preserving an acceptable dataset utility, while differential  privacy data release has concentrated on how to modify the data-mining algorithm to satisfy differential privacy while retaining a high mining  accuracy. Finally, I will present some popular applications of differential privacy and envisage future research directions. 

The talk will be based on our following publications:

    1. Tianqing Zhu, Ping Xiong, Gang Li and Wanlei Zhou, "Correlated Differential Privacy: Hiding Information in Non-IID Dataset," IEEE  Transactions on Information Forensics and Security, Vol 10, No 2, February 2015, pp. 229-242. 
    2. Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, and Cao Yuan, "Privacy-preserving topic model for tagging recommender systems", Knowledge  and Information Systems (Springer), 2015, DOI 10.1007/s10115-015-0832-9.
    3. Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong, "An Effective Privacy Preserving Algorithm for Neighborhood-based  Collaborative Filtering", Future Generation Computer System, Volume 36 (2014), pp. 142-155.

    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 continuing teaching scholar 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 a tutorial on differential privacy in PAKDD 2015. 

  

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