報告題目：The Past, Present, and Future of Differential Privacy

報告時間：2021年10月21日（周四）上午10:00

報告地點：騰訊會議（會議號：556 395 707）

報告人：Yang Cao

報告人單位：日本京都大學

報告人簡介：

Yang Cao is an Assistant Professor at the Department of Social Informatics at Kyoto University. He earned his Ph.D from the Graduate School of Informatics, Kyoto University, in 2017. His research interests lie in the intersections between database, security and machine learning, and have published more than 30 papers in these areas including top venues such as ICDE, AAAI, USENIX Security, TKDE. Two of his papers were selected as best paper finalist in ICDE 2017 and ICME 2020. He is a recipient of the IEEE Computer Society Japan Chapter Young Author Award 2019, Database Society of Japan (DBSJ) Kambayashi Young Researcher Award.

報告摘要：

Over the past few decades, differential privacy has received attention from academia and industry as the gold standard for privacy protection. Since its reception in 2006, differential privacy has been applied in various fields such as data sharing, database systems, deep learning, and federated learning. This talk will review the origins of differential privacy, highlight the state-of-the-art studies and deployments, and discuss some open problems.

邀請人：彭智勇 教授