{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T21:22:51Z","timestamp":1780435371743,"version":"3.54.1"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030659646","type":"print"},{"value":"9783030659653","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-65965-3_33","type":"book-chapter","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T19:48:52Z","timestamp":1612208932000},"page":"492-500","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Interpretable Privacy with Optimizable Utility"],"prefix":"10.1007","author":[{"given":"Jan","family":"Ramon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moitree","family":"Basu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,2,2]]},"reference":[{"key":"33_CR1","unstructured":"European General Data Protection Regulation. https:\/\/gdpr-info.eu\/"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Duchi, J.C., Jordan, M.I., Wainwright, M.J.: Local privacy and statistical minimax rates. In: FOCS (2013)","DOI":"10.1109\/FOCS.2013.53"},{"key":"33_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-79228-4_1","volume-title":"Theory and Applications of Models of Computation","author":"C Dwork","year":"2008","unstructured":"Dwork, C.: Differential privacy: a survey of results. In: Agrawal, M., Du, D., Duan, Z., Li, A. (eds.) TAMC 2008. LNCS, vol. 4978, pp. 1\u201319. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-79228-4_1"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Erlingsson, U., Feldman, V., Mironov, I., Raghunathan, A., Talwar, K.: Amplification by shuffling: from local to central differential privacy via anonymity. In: SODA (2019)","DOI":"10.1137\/1.9781611975482.151"},{"key":"33_CR5","unstructured":"Kairouz, P., Oh, S., Viswanath, P.: The composition theorem for differential privacy. In: Proceedings of the 32nd International Conference on Machine Learning, Lille, France (2015)"},{"key":"33_CR6","doi-asserted-by":"publisher","unstructured":"Kreuter, B., shelat, A.: Lessons learned with PCF: scaling secure computation. In: Proceedings of the First ACM Workshop on Language Support for Privacy-Enhancing Technologies, PETShop 2013, pp. 7\u201310. Association for Computing Machinery, New York (2013). https:\/\/doi.org\/10.1145\/2517872.2517877","DOI":"10.1145\/2517872.2517877"},{"key":"33_CR7","doi-asserted-by":"publisher","unstructured":"Near, J.P., et al.: Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy. Proc. ACM Program. Lang. 3(OOPSLA), 172:1\u2013172:30 (2019). https:\/\/doi.org\/10.1145\/3360598","DOI":"10.1145\/3360598"},{"key":"33_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-030-22479-0_10","volume-title":"Data and Applications Security and Privacy XXXIII","author":"R Pardo","year":"2019","unstructured":"Pardo, R., Le M\u00e9tayer, D.: Analysis of privacy policies to enhance informed consent. In: Foley, S.N. (ed.) DBSec 2019. LNCS, vol. 11559, pp. 177\u2013198. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22479-0_10"},{"key":"33_CR9","unstructured":"Paverd, A.J., Martin, A., Brown, I.: Modelling and automatically analysing privacy properties for honest-but-curious adversaries. Tech. rep. (2014). https:\/\/www.cs.ox.ac.uk\/people\/andrew.paverd\/casper\/casper-privacy-report.pdf"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Song, S., Wang, Y., Chaudhuri, K.: Pufferfish privacy mechanisms for correlated data. In: Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD 2017. Association for Computing Machinery (2017)","DOI":"10.1145\/3035918.3064025"},{"key":"33_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/978-3-642-41157-1_13","volume-title":"Trustworthy Global Computing","author":"L Xu","year":"2013","unstructured":"Xu, L.: Modular reasoning about differential privacy in a probabilistic process calculus. In: Palamidessi, C., Ryan, M.D. (eds.) TGC 2012. LNCS, vol. 8191, pp. 198\u2013212. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41157-1_13"}],"container-title":["Communications in Computer and Information Science","ECML PKDD 2020 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65965-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T23:23:59Z","timestamp":1619306639000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-65965-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030659646","9783030659653"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65965-3_33","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ghent","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecmlpkdd2020.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"945","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"195","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4,5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4,4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference took place virtually due to the COVID-19 pandemic","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}