{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T12:26:20Z","timestamp":1783427180274,"version":"3.54.6"},"reference-count":11,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:p>Reidentification-risk analysis and anonymity have received a great deal of attention in the last two decades. While the research community has been developing several privacy notions and the algorithms to achieve them, these tools have faced difficulties in being transferred to the wider audience of practitioners, for they require a considerable amount of data privacy technical knowledge.<\/jats:p>\n          <jats:p>\n            We demonstrate X\n            <jats:sup>2<\/jats:sup>\n            R\n            <jats:sup>2<\/jats:sup>\n            (Explainable Explorative Reidentification Risk), a\n            <jats:italic toggle=\"yes\">data anonymization tool for the laymen.<\/jats:italic>\n            X\n            <jats:sup>2<\/jats:sup>\n            R\n            <jats:sup>2<\/jats:sup>\n            guides the user through a transparent explorative process, during which the existing reidentification risks are explained and quantified, possible data transformation options are recommended, and the consequences of these operations, in terms of privacy risk and data utility, are clearly shown.\n          <\/jats:p>","DOI":"10.14778\/3415478.3415511","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T18:46:40Z","timestamp":1600109200000},"page":"2929-2932","source":"Crossref","is-referenced-by-count":2,"title":["X\n            <sup>2<\/sup>\n            R\n            <sup>2<\/sup>"],"prefix":"10.14778","volume":"13","author":[{"given":"Tom Rolandus","family":"Hagedoorn","sequence":"first","affiliation":[{"name":"Eurecat, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rohit","family":"Kumar","sequence":"additional","affiliation":[{"name":"Eurecat, Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Bonchi","sequence":"additional","affiliation":[{"name":"Eurecat, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1791834.1791836"},{"key":"e_1_2_1_2_1","volume-title":"The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss. Journal of biomedical informatics, 58:37--48","author":"Kohlmayer F.","year":"2015","unstructured":"F. Kohlmayer, F. Prasser, and K. A. Kuhn. The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss. Journal of biomedical informatics, 58:37--48, 2015."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367856"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217302"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.2310\/JIM.0b013e3181c9b2ea"},{"key":"e_1_2_1_6_1","first-page":"984","volume-title":"AMIA Annual Symposium Proceedings","volume":"2014","author":"Prasser F.","unstructured":"F. Prasser, F. Kohlmayer, R. Lautenschlaeger, and K. A. Kuhn. Arx-a comprehensive tool for anonymizing biomedical data. In AMIA Annual Symposium Proceedings, volume 2014, page 984. American Medical Informatics Association, 2014."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/275487.275508"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3267357.3267368"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1353-4858(16)30056-3"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57959-7"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3415478.3415511","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T02:37:29Z","timestamp":1758076649000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3415478.3415511"}},"subtitle":["a tool for explainable and explorative reidentification risk analysis"],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":11,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["10.14778\/3415478.3415511"],"URL":"https:\/\/doi.org\/10.14778\/3415478.3415511","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}