学术报告:Beyond Randomized Response: Private Data Analysis with Local Differential Privacy
报告题目:Beyond Randomized Response: Private Data Analysis with Local Differential Privacy
报 告 人:叶青青,香港理工大学,助理教授
报告时间:2025年8月4日(星期一)10:00
报告地点:扬子津校区信息与人工智能学院305会议室
主办单位:信息与人工智能学院(工业软件学院)、江苏省知识管理与智能服务工程研究中心、科学技术处
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专家简介:
Qingqing Ye is an assistant professor in the Hong Kong Polytechnic University. She received her PhD degree from Renmin University of China in 2020. Her research interests include data privacy and security, and adversarial machine learning. She has published over 90 flagship conference papers and top-tier journal papers in related areas, including IEEE S&P, SIGMOD, VLDB, ICDE, INFOCOM, WWW, KDD, ICML, NuerIPS, AAAI, TKDE, VLDBJ, TDSC, TIFS, TMC, etc. She is the recipient of several prestigious awards, including Hong Kong RGC Early Career Award, and IEEE S&P Travel Award. She serves as a TPC member of several top-tier conferences, including VLDB, ICDE, WWW, SIGKDD, ICML, ICLR, NeurIPS, AAAI, etc.
