【2021.05.07】Privacy-preserving Data Sharing against Malicious Attacks

报告题目Privacy-preserving Data Sharing against Malicious Attacks

主讲嘉宾Hong Shen(沈鸿)

报告时间2021年5月7日 13:30-15:30

报告地点复旦大学江湾校区交叉二号楼 A7007


报告摘要Recent years have seen a remarkable development of privacy-preserving computing (PPC) as an effective way to achieve secure distributed computing and information sharing across a public network that are of critical importance for network-centric computation and big data analytics. Recent advancement in cloud data sharing techniques has made traditional PPC techniques unable to effectively against emerging malicious attacks such as shilling, collusion and inference attacks.In the first part of this talk, I will first introduce the problem of privacy-preserving computing, its research challenges in cloud big data computing, then give a taxonomy on data protection techniques categorized on the security levels of data publishing, with the focus on differential privacy as an effective method to combat inference attacks, and provide an overview on our contributions in privacy-preserving computing. In the second part, to show the power of differential privacy for secure data sharing, I will give two examples of our work of applying differential privacy to achieve privacy-preserving recommendation and data clustering against inference attacks. As concluding remarks, I will further illustrate the application of differential privacy in obtaining privacy-preserving solutions for some statistical and combinatorial optimization problems.

关于嘉宾Dr. Hong Shen is a specially-appointed Professor in Sun Yat-sen University where he was the foundation Director of Institute for Advanced Computing. With main research interests in parallel and distributed computing, privacy preserving computing, optimization algorithms, wireless and optical networks, data mining, he has led numerous research centers and projects in different countries. He has published 400+ papers including over 100 papers in major international journals such as a variety of IEEE and ACM transactions. Prof. Shen has received many honours and awards including China National Endowed Expert, Chinese Academy of Sciences “Hundred Talents”, Ministry of Education Science and Technology Progress Award, and Chinese Academy of Sciences Natural Sciences Award. He has served on the editorial boards of numerous journals and chaired many conferences.

地址: 中国 上海市杨浦区淞沪路2005号复旦大学江湾校区2号交叉学科楼
邮编: 200438
电话: +86-21-31242153
传真: +86-21-31242153
E-mail: dataology@fudan.edu.cn