学术报告:Data-Driven Privacy Attacks and AI Security

发布人:陈明发布时间:2019-11-05动态浏览次数:13

Title : Data-Driven Privacy Attacks and AI Security

Reporter:Minhui Xue

Date:10:30AM, November 6, 2019

Site:计算机楼142会议室

  

Abstract:

While rich socio-demographic and Internet of Things data are key to modern data-driven research, their collection and use raise legitimate privacy concerns.In this talk, I’ll survey some most recent research in mining social networks and privacy.I will also talk about contemporary European privacy law (Right to be Forgotten),putting the most important privacy law of the decade into question. I’ll conclude the talk by introducing the state-of-the-art AI attacks and discuss how they function in this modern world.

  

Bio Sketch:

Minhui Xue is Lecturer (a.k.a Assistant Professor) in School of Computer Science of the University of Adelaide and Honorary Lecturer at Macquarie University, Sydney, Australia. Previously, he was Research Fellow with Optus Macquarie University Cyber Security Hub and visiting research scientist with CSIRO-Data61 at Sydney, Australia. His current research interests are in AI security and privacy, system security and privacy, and Internet measurement. He published widely in top security and software engineering conferences, including IEEE S\&P, USENIX Security, ACM CCS, NDSS, ACM IMC, PETS, IEEE/ACM FSE, IEEE/ACM ASE, and ACM ISSTA. He is the recipient of the ACM SIGSOFT distinguished paper award and IEEE best paper award, and his work has been featured in the mainstream press, including The New York Times, Science Daily, PR Newswire,Yahoo, andEurekAlert!. He is the PC chair of the IEEE Workshop on Smart City Security and Privacy (SCSP 2019) and IEEE International Workshop on Articial Intelligence for Mobile (AI4Mobile 2019). He serves on the program committee of Privacy Enhancing Technologies Symposium (PETS 2019, 2020).