应我校电子与信息工程学院韩帅教授、孟维晓教授邀请，在哈尔滨工业大学国际合作部、电信学院青年教师联合会、中国电子学会信号处理分会、IEEE IoT-AHSN技术委员会，IEEE ComSoc 哈尔滨分会、IEEE VTS哈尔滨分会、IEEE BTS哈尔滨分会的支持下，厦门大学肖亮教授将于2022年12月16日通过腾讯会议进行线上专题报告，欢迎对此感兴趣的专家学者、老师和同学参加。
报告题目：Reinforcement Learning Aided Privacy Protection for IoT
会议时间：2022/12/16 15:30-17:30
会议链接：https://meeting.tencent.com/dm/oaREBS6IhTkY
腾讯会议：659-821-236
Abstract:
Internet of things (IoTs) have to protect user privacy against inference attacks for location-based services and healthcare applications. The optimal IoTs privacy protection policy that makes a trade-off between privacy and data utility usually depends on the knowledge of the network model and the attack pattern. In this talk, we present IoT reinforcement learning based privacy protection schemes that enable IoT devices to optimize the privacy protection policy without being aware of the inference attack model in dynamic IoTs. We also present a deep learning version that compresses the state space and handles the high-dimensional continuous privacy protection policy space to further accelerate the learning speed and improve both the privacy protection level and the quality of services.
Speaker Bio: Liang Xiao is currently a Professor in the Department of Communication Enginnering, Xiamen University, Fujian, China. She is an IEEE Senior member, and member of IEEE Technical Committee on Big Data. She has served in several editorial roles, including an associate editor of IEEE Trans. Information Forensics & Security and IEEE Trans. Commun. Her research interests include wireless security, machine learning, and wireless communications. She won the best paper award for 2017 IEEE ICC and 2016 IEEE INFOCOM Bigsecurity WS. She received the B.S. degree in communication engineering from Nanjing University of Posts and Telecommunications, China, in 2000, the M.S. degree in electrical engineering from Tsinghua University, China, in 2003, and the Ph.D. degree in electrical engineering from Rutgers University, NJ, in 2009. She was a visiting professor with Princeton University, Virginia Tech, and University of Maryland, College Park.
