{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:04:44Z","timestamp":1760709884254,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030185787"},{"type":"electronic","value":"9783030185794"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-18579-4_15","type":"book-chapter","created":{"date-parts":[[2019,4,23]],"date-time":"2019-04-23T15:05:36Z","timestamp":1556031936000},"page":"247-263","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Multiple Privacy Regimes Mechanism for Local Differential Privacy"],"prefix":"10.1007","author":[{"given":"Yutong","family":"Ye","sequence":"first","affiliation":[]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Dengguo","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jialin","family":"Chi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,24]]},"reference":[{"key":"15_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/978-3-319-59870-3_14","volume-title":"Information Security and Privacy","author":"M Akter","year":"2017","unstructured":"Akter, M., Hashem, T.: Computing aggregates over numeric data with personalized local differential privacy. In: Pieprzyk, J., Suriadi, S. (eds.) ACISP 2017. LNCS, vol. 10343, pp. 249\u2013260. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-59870-3_14"},{"key":"15_CR2","unstructured":"Apple2017: macos sierra: share analytics information with apple. https:\/\/support.apple.com\/kb\/PH25654?locale=en_US&viewlocale=en_US"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Bassily, R., Smith, A.: Local, private, efficient protocols for succinct histograms. In: Proceedings of the Forty-Seventh Annual ACM Symposium on Theory of Computing, pp. 127\u2013135. ACM (2015)","DOI":"10.1145\/2746539.2746632"},{"key":"15_CR4","unstructured":"Bassily, R., Stemmer, U., Thakurta, A.G., et al.: Practical locally private heavy hitters. In: Advances in Neural Information Processing Systems, pp. 2285\u20132293 (2017)"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Chen, R., Li, H., Qin, A.K., Kasiviswanathan, S.P., Jin, H.: Private spatial data aggregation in the local setting. In: IEEE International Conference on Data Engineering, pp. 289\u2013300 (2016)","DOI":"10.1109\/ICDE.2016.7498248"},{"key":"15_CR6","first-page":"1","volume-title":"Automata, Languages and Programming","author":"Cynthia Dwork","year":"2006","unstructured":"Dwork, C.: Differential privacy. In: International Colloquium on Automata, Languages, and Programming, pp. 1\u201312 (2006)"},{"key":"15_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/11681878_14","volume-title":"Theory of Cryptography","author":"C Dwork","year":"2006","unstructured":"Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: Halevi, S., Rabin, T. (eds.) TCC 2006. LNCS, vol. 3876, pp. 265\u2013284. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11681878_14"},{"key":"15_CR8","volume-title":"The Algorithmic Foundations of Differential Privacy","author":"C Dwork","year":"2014","unstructured":"Dwork, C., Roth, A.: The Algorithmic Foundations of Differential Privacy. Now Publishers Inc., Hanover (2014)"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Erlingsson, \u00da., Korolova, A., Pihur, V.: RAPPOR: randomized aggregatable privacy-preserving ordinal response. In: ACM SIGSAC Conference on Computer and Communications Security, pp. 1054\u20131067 (2014)","DOI":"10.1145\/2660267.2660348"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Jorgensen, Z., Yu, T., Cormode, G.: Conservative or liberal? Personalized differential privacy. In: 2015 IEEE 31st International Conference on Data Engineering (ICDE), pp. 1023\u20131034. IEEE (2015)","DOI":"10.1109\/ICDE.2015.7113353"},{"key":"15_CR11","unstructured":"Kairouz, P., Bonawitz, K., Ramage, D.: Discrete distribution estimation under local privacy. arXiv preprint arXiv:1602.07387 (2016)"},{"key":"15_CR12","unstructured":"Kairouz, P., Oh, S., Viswanath, P.: Extremal mechanisms for local differential privacy. In: Advances in Neural Information Processing Systems, pp. 2879\u20132887 (2014)"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Kasiviswanathan, S.P., Lee, H.K., Nissim, K., Raskhodnikova, S.: What can we learn privately? In: Proceedings IEEE Annual IEEE Symposium on Foundations of Computer Science, vol. 40, no. 3, pp. 793\u2013826 (2008)","DOI":"10.1137\/090756090"},{"key":"15_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1007\/978-3-319-57454-7_48","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"H Li","year":"2017","unstructured":"Li, H., Xiong, L., Ji, Z., Jiang, X.: Partitioning-based mechanisms under personalized differential privacy. In: Kim, J., Shim, K., Cao, L., Lee, J.-G., Lin, X., Moon, Y.-S. (eds.) PAKDD 2017. LNCS (LNAI), vol. 10234, pp. 615\u2013627. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-57454-7_48"},{"key":"15_CR15","unstructured":"Narayanan, A., Shmatikov, V.: How to break anonymity of the Netflix prize dataset. Comput. Sci. (2007)"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Qin, Z., Yang, Y., Yu, T., Khalil, I., Xiao, X., Ren, K.: Heavy hitter estimation over set-valued data with local differential privacy. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pp. 192\u2013203. ACM (2016)","DOI":"10.1145\/2976749.2978409"},{"key":"15_CR17","unstructured":"Tang, J., Korolova, A., Bai, X., Wang, X., Wang, X.: Privacy loss in Apple\u2019s implementation of differential privacy on macOS 10.12. arXiv preprint arXiv:1709.02753 (2017)"},{"key":"15_CR18","unstructured":"Wang, T., Blocki, J., Li, N., Jha, S.: Locally differentially private protocols for frequency estimation. In: Proceedings of the 26th USENIX Security Symposium, pp. 729\u2013745 (2017)"},{"key":"15_CR19","unstructured":"Wang, T., Li, N., Jha, S.: Locally differentially private heavy hitter identification. arXiv preprint arXiv:1708.06674 (2017)"},{"key":"15_CR20","doi-asserted-by":"crossref","unstructured":"Wang, T., Li, N., Jha, S.: Locally differentially private frequent itemset mining. In: IEEE Symposium on Security and Privacy, p. 0. IEEE (2018)","DOI":"10.1109\/SP.2018.00035"},{"issue":"309","key":"15_CR21","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1080\/01621459.1965.10480775","volume":"60","author":"SL Warner","year":"1965","unstructured":"Warner, S.L.: Randomized response: a survey technique for eliminating evasive answer bias. J. Am. Stat. Assoc. 60(309), 63\u201369 (1965)","journal-title":"J. Am. Stat. Assoc."},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Ye, M., Barg, A.: Optimal schemes for discrete distribution estimation under local differential privacy. In: 2017 IEEE International Symposium on Information Theory (ISIT), pp. 759\u2013763. IEEE (2017)","DOI":"10.1109\/ISIT.2017.8006630"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-18579-4_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:50:18Z","timestamp":1710233418000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-18579-4_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030185787","9783030185794"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-18579-4_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chiang Mai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2019.eng.cmu.ac.th\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"501","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":"92","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":"64","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":"18% - 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":"3","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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13 demo papers, 6 tutorial papers","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)"}}]}}