An optimal differentially private data release mechanism with constrained error  

作　　者：Hao WANG Zhengquan XU Xiaoshan ZHANG Xiao PENG Kaiju LI 

机构地区：[1]Key Laboratory of Tourism Multisource Data Perception and Decision,Ministry of Culture and Tourism,College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing,400065,China [2]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,430079,China [3]College of Computer Science,Chongqing University,Chongqing,400044,China

出　　处：《Frontiers of Computer Science》2022年第1期187-189,共3页中国计算机科学前沿（英文版）

基　　金：This work was supported in part by the National Natural Science Foundation of China(Grant No.42001398);Natural Science Foundation of Chongqing(cstc2020jcyj-msxmX0635);China Postdoctoral Science Foundation funded project(2021M693929);Science and Technology Research Project of CEC(KJQN201900612);Open Fund of LIESMARS(20S02);PhD Starts Fund of CQUPT(A2019-302);SRTP of CQUPT(A2019-175,A2020-106).

摘　　要：1 Introduction and main contributions In data-driven applications,such as location based services(LBSs),disease surveillance and social networks,etc.,information fusion is necessary for data owners to obtain better services.But the aggregated data may contain individuaFs sensi-tive information.Therefore,privacy preserving data fusion has become a substantial issue in data aggregating and mining[1,2].

关 键 词：LBS RELEASE OPTIMAL 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]