{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T16:17:33Z","timestamp":1783009053317,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2018,9,1]],"date-time":"2018-09-01T00:00:00Z","timestamp":1535760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572398"],"award-info":[{"award-number":["61572398"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772410"],"award-info":[{"award-number":["61772410"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502381"],"award-info":[{"award-number":["61502381"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M623177"],"award-info":[{"award-number":["2017M623177"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["xjj2017149"],"award-info":[{"award-number":["xjj2017149"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/tifs.2018.2812146","type":"journal-article","created":{"date-parts":[[2018,3,5]],"date-time":"2018-03-05T19:13:44Z","timestamp":1520277224000},"page":"2151-2166","source":"Crossref","is-referenced-by-count":249,"title":["&lt;inline-formula&gt; \n                     &lt;tex-math notation=\"LaTeX\"&gt;$\\textsf{LoPub}$ &lt;\/tex-math&gt;\n                  &lt;\/inline-formula&gt;: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6498-0250","authenticated-orcid":false,"given":"Xuebin","family":"Ren","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1677-2131","authenticated-orcid":false,"given":"Chia-Mu","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiren","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shusen","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5117-4914","authenticated-orcid":false,"given":"Xinyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie A.","family":"McCann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2656475"},{"key":"ref38","first-page":"1","article-title":"Evaluating laplace noise addition to satisfy differential privacy for numeric data","volume":"4","author":"sarathy","year":"2011","journal-title":"Trans Data Privacy"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2767007"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559850"},{"key":"ref31","first-page":"21","article-title":"Dependence makes you Vulnberable: Differential privacy under dependent tuples","author":"liu","year":"2016","journal-title":"Proc NDSS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2012.2228240"},{"key":"ref37","author":"ren","year":"2016","journal-title":"Lopub High-dimensional crowdsourced data publication with local differential privacy"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134086"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978409"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2588575"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783379"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498241"},{"key":"ref11","first-page":"451","article-title":"Differentially private publishing of high-dimensional data using sensitivity control","author":"day","year":"2015","journal-title":"Proc ASIACCS"},{"key":"ref12","first-page":"3574","article-title":"Collecting telemetry data privately","author":"ding","year":"2017","journal-title":"Proc NIPS"},{"key":"ref13","first-page":"429","article-title":"Local privacy and statistical minimax rates","author":"duchi","year":"2013","journal-title":"Proc IEEE FOCS"},{"key":"ref14","first-page":"1","article-title":"Differential privacy","author":"dwork","year":"2006","journal-title":"Proc ICALP"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref16","first-page":"265","article-title":"Calibrating noise to sensitivity in private data analysis","author":"dwork","year":"2006","journal-title":"Proc TCC"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1561\/0400000042"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660348"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1515\/popets-2016-0015"},{"key":"ref28","first-page":"475","article-title":"Differentially private synthesization of multi-dimensional data using copula functions","author":"li","year":"2014","journal-title":"Proc EDBT"},{"key":"ref4","first-page":"118","article-title":"I Have a DREAM! (DiffeRentially privatE smArt Metering)","author":"castelluccia1","year":"2011","journal-title":"Proc Inf Hiding Workshop"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2535242"},{"key":"ref3","first-page":"1","article-title":"Differentially private histogram publishing through lossy compression","author":"\u00e1cs","year":"2012","journal-title":"Proc IEEE ICDM"},{"key":"ref6","first-page":"2285","article-title":"Practical locally private heavy hitters","author":"bassily","year":"2017","journal-title":"Proc NIPS"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2561241"},{"key":"ref5","author":"bache","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029829"},{"key":"ref7","first-page":"127","article-title":"Local, private, efficient protocols for succinct histograms","author":"bassily","year":"2015","journal-title":"Proc ACM STOC"},{"key":"ref2","year":"0","journal-title":"Transaction Processing Performance Council"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498248"},{"key":"ref1","year":"0","journal-title":"Frequent Itemset Mining Dataset"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2515513"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/PerCom.2012.6199861"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2588573"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2532839"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1109\/TIFS.2014.2368363","article-title":"Correlated differential privacy: Hiding information in non-IID data set","volume":"10","author":"zhu","year":"2015","journal-title":"IEEE Trans Inf Forensics Security"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2718487"},{"key":"ref42","first-page":"729","article-title":"Locally differentially private protocols for frequency estimation","author":"wang","year":"2017","journal-title":"Proc Usenix Secur Symp"},{"key":"ref24","first-page":"2879","article-title":"Extremal mechanisms for local differential privacy","author":"kairouz","year":"2014","journal-title":"Proc NIPS"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2016.7524458"},{"key":"ref23","author":"kairouz","year":"2016","journal-title":"Discrete distribution estimation under local privacy"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1965.10480775"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.031412.00077"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.2363357"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14778\/2535573.2488337"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/8350420\/08306916.pdf?arnumber=8306916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T07:17:04Z","timestamp":1643181424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8306916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":47,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tifs.2018.2812146","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9]]}}}