{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T16:31:59Z","timestamp":1783787519688,"version":"3.55.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tbdata.2024.3433433","type":"journal-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T17:33:03Z","timestamp":1721928783000},"page":"774-787","source":"Crossref","is-referenced-by-count":13,"title":["Secret Specification Based Personalized Privacy-Preserving Analysis in Big Data"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8129-4538","authenticated-orcid":false,"given":"Jiajun","family":"Chen","sequence":"first","affiliation":[{"name":"School of Big Data &#x0026; Software Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5825-2241","authenticated-orcid":false,"given":"Chunqiang","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Big Data &#x0026; Software Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1038-3204","authenticated-orcid":false,"given":"Zewei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Big Data &#x0026; Software Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9439-4623","authenticated-orcid":false,"given":"Tao","family":"Xiang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7935-886X","authenticated-orcid":false,"given":"Pengfei","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6451-1158","authenticated-orcid":false,"given":"Jiguo","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4324\/9781003075011-12"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5771\/9781538167830"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref5","article-title":"On the map: Longitudinal employer-household dynamics"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660348"},{"key":"ref7","article-title":"Learning with privacy at scale","journal-title":"Apple Mach. Learn."},{"key":"ref8","first-page":"3574","article-title":"Collecting telemetry data privately","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Proces. Syst.","author":"Ding"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3187009.3177733"},{"key":"ref10","article-title":"The top 10 breakthrough technologies for 2020.forbes","author":"Marr"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4079222"},{"key":"ref12","article-title":"Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule, 45 C.F.R. Part 160 and Subparts A and E of Part 164"},{"key":"ref13","article-title":"Family Educational Rights and Privacy Act (FERPA), 20 U.S.C. \u00a7 1232g"},{"key":"ref14","article-title":"Regulation (EU) 2016\/679 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95\/46\/EC"},{"key":"ref15","article-title":"California Consumer Privacy Act, California Civil Code \u00a7 1798.100 et seq"},{"key":"ref16","article-title":"California Privacy Rights Act, Proposition 24, California General Election"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa1465"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1509\/jppm.19.2.238.17136"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113353"},{"key":"ref20","article-title":"Guidelines for evaluating differential privacy guarantees","author":"Near","year":"2023"},{"key":"ref21","first-page":"236","article-title":"Differentially private friends recommendation","volume-title":"Lecture Notes in Computer Science","author":"Macwan","year":"2022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3013157"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.29012\/jpc.v7i2.652"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26951-7_22"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2017.2673414"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2018.8422439"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2514689"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2588581"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58951-6_32"},{"key":"ref30","article-title":"Prior-itizing privacy: A Bayesian approach to setting the privacy budget in differential privacy","author":"Kazan","year":"2023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00049"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020709"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2016.23279"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2747643"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2937245"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.11"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2007.66"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22009-9_301270"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217301"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/10925345\/10609563.pdf?arnumber=10609563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T21:20:30Z","timestamp":1742246430000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10609563\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":40,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2024.3433433","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}