{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:04:30Z","timestamp":1740099870593,"version":"3.37.3"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T00:00:00Z","timestamp":1607904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T00:00:00Z","timestamp":1607904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T00:00:00Z","timestamp":1607904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,14]]},"DOI":"10.1109\/cdc42340.2020.9304375","type":"proceedings-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T07:27:32Z","timestamp":1610522852000},"page":"2887-2893","source":"Crossref","is-referenced-by-count":1,"title":["Differentially Private Parameter Estimation: Optimal Noise Insertion and Data Owner Selection"],"prefix":"10.1109","author":[{"given":"Xuanyu","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamer","family":"Basar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.936019"},{"article-title":"CVX: Matlab software for disciplined convex programming","year":"2008","author":"grant","key":"ref30"},{"key":"ref10","first-page":"429","article-title":"Local privacy and statistical minimax rates","author":"duchi","year":"2013","journal-title":"IEEE 54th Annual Symposium on Foundations of Computer Science (FOCS)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.geb.2013.06.013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2896377.2901461"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2229012.2229054"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2482540.2482585"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2892555"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2229012.2229073"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2016.2541298"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973075.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974331.ch43"},{"journal-title":"Fundamentals of Statistical Signal Processing Volume I Estimation Theory","year":"1993","author":"kay","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2504972"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2488608.2488650"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2504967"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1065167.1065184"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2685505"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-11799-2_26"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/090756090"},{"key":"ref2","first-page":"265","article-title":"Calibrating noise to sensitivity in private data analysis","author":"dwork","year":"2006","journal-title":"Theory of Cryptography Conference"},{"key":"ref9","first-page":"155","article-title":"Sample complexity bounds for differentially private learning","author":"chaudhuri","year":"2011","journal-title":"Proceedings of the 24th Annual Conference on Learning Theory"},{"year":"0","key":"ref1","article-title":"Facebook Cambridge Analytica data scandal"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2013.2283096"},{"key":"ref22","first-page":"211","article-title":"The algorithmic foundations of differential privacy","volume":"9","author":"dwork","year":"2014","journal-title":"Foundations and Trends"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2793871"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2018.2842221"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2018.2809790"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.1612"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2014.7039713"}],"event":{"name":"2020 59th IEEE Conference on Decision and Control (CDC)","start":{"date-parts":[[2020,12,14]]},"location":"Jeju, Korea (South)","end":{"date-parts":[[2020,12,18]]}},"container-title":["2020 59th IEEE Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9303728\/9303729\/09304375.pdf?arnumber=9304375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:46:41Z","timestamp":1656344801000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9304375\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,14]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/cdc42340.2020.9304375","relation":{},"subject":[],"published":{"date-parts":[[2020,12,14]]}}}