学术报告

题      目：Differential Private Data Release for Mixed-type Data via Latent Factor Models

报  告  人：张艳青  教授  (邀请人：吴琴 )

                                   云南大学

时      间：6月19日  09：00-10：00

地     点：数科院西楼二楼会议室

报告人简介:

        云南大学数学与统计学院统计系，教授，主要从事的研究方向为推荐系统、差分隐私保护、缺失数据分析、贝叶斯统计诊断、张量数据分析等。

摘      要：

       The rise of big data processing, sharing and analysis makes theprotection of confidentialinformation urgentlynecessary.Differential privacy is a particular dataprivacy preservingtechnology which can publish syntheticdata or statistical analysiswith a minimum disclosure of private information of individualrecord. The tradeoffbetween privacy-preservingand utilityguarantee is always a challenge for differential privacy technology,especially forsynthetic data generation.