{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:34:51Z","timestamp":1750307691329,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2008,10,27]],"date-time":"2008-10-27T00:00:00Z","timestamp":1225065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2008,10,27]]},"DOI":"10.1145\/1456403.1456423","type":"proceedings-article","created":{"date-parts":[[2008,11,6]],"date-time":"2008-11-06T13:49:50Z","timestamp":1225979390000},"page":"117-122","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Yet another privacy metric for publishing micro-data"],"prefix":"10.1145","author":[{"given":"Keith B.","family":"Frikken","sequence":"first","affiliation":[{"name":"Miami University, Oxford, OH, Uruguay"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihua","family":"Zhang","sequence":"additional","affiliation":[{"name":"Miami University, Oxford, OH, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2008,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2005.42"},{"key":"e_1_3_2_1_2_1","first-page":"770","volume-title":"VLDB'07: Proceedings of the 33rd international conference on Very large data bases","author":"Chen B.","year":"2007","unstructured":"B. Chen , R. Ramakrishnan , and K. LeFevre . Privacy skyline: Privacy with multidimensional adversarial knowledge . In VLDB'07: Proceedings of the 33rd international conference on Very large data bases , pages 770 -- 781 . VLDB Endowment , 2007 . B. Chen, R. Ramakrishnan, and K. LeFevre. Privacy skyline: Privacy with multidimensional adversarial knowledge. In VLDB'07: Proceedings of the 33rd international conference on Very large data bases, pages 770--781. VLDB Endowment, 2007."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1066157.1066164"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2006.101"},{"key":"e_1_3_2_1_5_1","first-page":"106","volume-title":"ICDE'07: Proceedings of the 23rd International Conference on Data Engineering","author":"Li N.","year":"2007","unstructured":"N. Li , T. Li , and s. Venkatasubramanian. t-closeness : Privacy beyond k-anonymity and l-diversity . In ICDE'07: Proceedings of the 23rd International Conference on Data Engineering , pages 106 -- 115 , Washington, DC, USA , 2007 . IEEE Computer Society. N. Li, T. Li, and s. Venkatasubramanian. t-closeness: Privacy beyond k-anonymity and l-diversity. In ICDE'07: Proceedings of the 23rd International Conference on Data Engineering, pages 106--115, Washington, DC, USA, 2007. IEEE Computer Society."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217302"},{"key":"e_1_3_2_1_7_1","first-page":"126","volume-title":"ICDE'07: Proceedings of the 21st International Conference on Data Engineering","author":"Martin D.","year":"2007","unstructured":"D. Martin , D. Kifer , A. Machanavajjhala , J. Gehrke , and J. Halpern . Worst-case background knowledge . In ICDE'07: Proceedings of the 21st International Conference on Data Engineering , pages 126 -- 135 . IEEE Computer Society , 2007 . D. Martin, D. Kifer, A. Machanavajjhala, J. Gehrke, and J. Halpern. Worst-case background knowledge. In ICDE'07: Proceedings of the 21st International Conference on Data Engineering, pages 126--135. IEEE Computer Society, 2007."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150499"},{"key":"e_1_3_2_1_10_1","first-page":"139","volume-title":"VLDB'06: Proceedings of the 32nd international conference on Very large data bases","author":"Xiao X.","year":"2006","unstructured":"X. Xiao and Y. Tao . Anatomy: simple and effective privacy preservation . In VLDB'06: Proceedings of the 32nd international conference on Very large data bases , pages 139 -- 150 . VLDB Endowment , 2006 . X. Xiao and Y. Tao. Anatomy: simple and effective privacy preservation. In VLDB'06: Proceedings of the 32nd international conference on Very large data bases, pages 139--150. VLDB Endowment, 2006."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1142473.1142500"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1247480.1247556"}],"event":{"name":"CCS08: 15th ACM Conference on Computer and Communications Security 2008","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control","ACM Association for Computing Machinery"],"location":"Alexandria Virginia USA","acronym":"CCS08"},"container-title":["Proceedings of the 7th ACM workshop on Privacy in the electronic society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1456403.1456423","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1456403.1456423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:29:54Z","timestamp":1750253394000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1456403.1456423"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,10,27]]},"references-count":12,"alternative-id":["10.1145\/1456403.1456423","10.1145\/1456403"],"URL":"https:\/\/doi.org\/10.1145\/1456403.1456423","relation":{},"subject":[],"published":{"date-parts":[[2008,10,27]]},"assertion":[{"value":"2008-10-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}