{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T11:14:09Z","timestamp":1763810049109,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 106-2221-E-035-010","MOST 107-2221-E-035-020-MY3"],"award-info":[{"award-number":["MOST 106-2221-E-035-010","MOST 107-2221-E-035-020-MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2021,3,1]]},"DOI":"10.1109\/tbdata.2019.2916108","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T19:52:09Z","timestamp":1557863529000},"page":"214-226","source":"Crossref","is-referenced-by-count":8,"title":["RoD: Evaluating the Risk of Data Disclosure Using Noise Estimation for Differential Privacy"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7324-5135","authenticated-orcid":false,"given":"Yao-Tung","family":"Tsou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hung-Li","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia-Yang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660348"},{"key":"ref33","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":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783379"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/69.971193"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/275487.275508"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2697856"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2006.870353"},{"year":"2015","key":"ref35","article-title":"Tackling Urban Mobility with Technology by Andrew Eland, Google Policy Europe Blog"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.01.034"},{"year":"2018","key":"ref10","article-title":"New regulation of the european union on the protection of personal data (from 2018)"},{"year":"2018","key":"ref11","article-title":"Protecting consumer privacy in an era of rapid change"},{"year":"2018","key":"ref12"},{"key":"ref13","first-page":"371","article-title":"Secondary analysis of existing data: Opportunities and implementation","volume":"26","author":"cheng","year":"2014","journal-title":"Shanghai Archives of Psychiatry"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PRDC.2017.59"},{"key":"ref15","first-page":"249","article-title":"Developments and applications of data deidentification technology under big data","volume":"15","author":"chen","year":"2017","journal-title":"Int J Electron Sci Technol"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/773153.773173"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2014.35"},{"key":"ref18","first-page":"325","article-title":"How much is enough? Choosing $\\varepsilon$? for differential privacy","author":"lee","year":"2011","journal-title":"Proc 14th Int Conf Inf Security"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465330"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020487"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"article-title":"Differential privacy: An estimation theory-based method for choosing epsilon","year":"2015","author":"maurizio","key":"ref27"},{"key":"ref3","first-page":"747","article-title":"BLENDER: Enabling local search with a hybrid differential privacy model","author":"avent","year":"2017","journal-title":"Proc 26th USENIX Security Symp"},{"key":"ref6","first-page":"1130","article-title":"Data-driven approach for evaluating risk of disclosure and utility in differentially private data release","author":"yu","year":"2017","journal-title":"Proc 31st Int Conf Advanced Inf Netw Appl"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213876"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref8","first-page":"1","article-title":"Connecting randomized response, post-randomization, differential privacy and $t$t-Closeness via deniability and permutation","author":"josep","year":"2018"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.knosys.2014.11.011","article-title":"From $t$t-closeness to differential privacy and vice versa in data anonymization","volume":"74","author":"josep","year":"2015","journal-title":"Knowl -Based Syst"},{"key":"ref2","first-page":"1","article-title":"Learning with privacy at scale","volume":"1","year":"2017","journal-title":"Mach Lear J"},{"key":"ref9","first-page":"535","article-title":"Differential privacy and statistical disclosure risk measures: An investigation with binary synthetic data","volume":"5","author":"mcclure","year":"2012","journal-title":"Trans Data Privacy"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217302"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2588573"},{"key":"ref22","first-page":"19","article-title":"Epsilon voting: Mechanism design for parameter selection in differential privacy","author":"nitin","year":"2018","journal-title":"Proc IEEE Symp Privacy-Aware Comput"},{"article-title":"UCI machine learning repository","year":"2018","author":"bache","key":"ref21"},{"key":"ref24","article-title":"($k,\\varepsilon$k,?)-anonymity: $k$k-anonymity with $\\varepsilon$?-differential privacy","author":"holohan","year":"2017","journal-title":"Cryptography and Security"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367856"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2414456.2414474"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/9366322\/08713938.pdf?arnumber=8713938","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:07Z","timestamp":1652194447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8713938\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,1]]},"references-count":38,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2019.2916108","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"type":"electronic","value":"2332-7790"},{"type":"electronic","value":"2372-2096"}],"subject":[],"published":{"date-parts":[[2021,3,1]]}}}