{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T11:43:15Z","timestamp":1747222995064,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030315771"},{"type":"electronic","value":"9783030315788"}],"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\/978-3-030-31578-8_27","type":"book-chapter","created":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T23:04:24Z","timestamp":1570748664000},"page":"493-511","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine"],"prefix":"10.1007","author":[{"given":"Ali Burak","family":"\u00dcnal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mete","family":"Akg\u00fcn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nico","family":"Pfeifer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,11]]},"reference":[{"key":"27_CR1","series-title":"Information Security and Cryptography","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-57048-8_1","volume-title":"Tutorials on the Foundations of Cryptography","author":"B Applebaum","year":"2017","unstructured":"Applebaum, B.: Garbled circuits as randomized encodings of functions: a primer. Tutorials on the Foundations of Cryptography. ISC, pp. 1\u201344. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-57048-8_1"},{"issue":"2","key":"27_CR2","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s00037-006-0211-8","volume":"15","author":"B Applebaum","year":"2006","unstructured":"Applebaum, B., Ishai, Y., Kushilevitz, E.: Computationally private randomizing polynomials and their applications. Comput. Complex. 15(2), 115\u2013162 (2006)","journal-title":"Comput. Complex."},{"issue":"4","key":"27_CR3","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1137\/S0097539705446950","volume":"36","author":"B Applebaum","year":"2006","unstructured":"Applebaum, B., Ishai, Y., Kushilevitz, E.: Cryptography in $${\\rm NC}^{\\hat{\\,}}0$$. SIAM J. Comput. 36(4), 845\u2013888 (2006)","journal-title":"SIAM J. Comput."},{"issue":"2","key":"27_CR4","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1137\/120875193","volume":"43","author":"B Applebaum","year":"2014","unstructured":"Applebaum, B., Ishai, Y., Kushilevitz, E.: How to garble arithmetic circuits. SIAM J. Comput. 43(2), 905\u2013929 (2014)","journal-title":"SIAM J. Comput."},{"issue":"2","key":"27_CR5","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/MC.2015.59","volume":"48","author":"E Ayday","year":"2015","unstructured":"Ayday, E., De Cristofaro, E., Hubaux, J.P., Tsudik, G.: Whole genome sequencing: revolutionary medicine or privacy nightmare? Computer 48(2), 58\u201366 (2015)","journal-title":"Computer"},{"issue":"3","key":"27_CR6","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"issue":"W1","key":"27_CR7","doi-asserted-by":"publisher","first-page":"W271","DOI":"10.1093\/nar\/gky349","volume":"46","author":"Matthias D\u00f6ring","year":"2018","unstructured":"D\u00f6ring, M., et al.: geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data. Nucleic Acids Res. gky349 (2018). https:\/\/doi.org\/10.1093\/nar\/gky349","journal-title":"Nucleic Acids Research"},{"key":"27_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1007\/978-3-662-44371-2_31","volume-title":"Advances in Cryptology \u2013 CRYPTO 2014","author":"S Halevi","year":"2014","unstructured":"Halevi, S., Shoup, V.: Algorithms in HElib. In: Garay, J.A., Gennaro, R. (eds.) CRYPTO 2014. LNCS, vol. 8616, pp. 554\u2013571. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-662-44371-2_31"},{"key":"27_CR9","unstructured":"Halevi, S., Shoup, V.: HElib-an implementation of homomorphic encryption. Cryptology ePrint Archive, Report 2014\/039 (2014)"},{"issue":"2","key":"27_CR10","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1109\/TCBB.2007.070208","volume":"4","author":"C Igel","year":"2007","unstructured":"Igel, C., Glasmachers, T., Mersch, B., Pfeifer, N., Meinicke, P.: Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detection. IEEE\/ACM Trans. Comput. Biol. Bioinform. 4(2), 216\u2013226 (2007)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"issue":"2","key":"27_CR11","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1093\/bioinformatics\/btx568","volume":"34","author":"G Kale","year":"2017","unstructured":"Kale, G., Ayday, E., Tastan, O.: A utility maximizing and privacy preserving approach for protecting kinship in genomic databases. Bioinformatics 34(2), 181\u2013189 (2017)","journal-title":"Bioinformatics"},{"key":"27_CR12","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.neuroimage.2014.12.079","volume":"112","author":"JP Kauppi","year":"2015","unstructured":"Kauppi, J.P., et al.: Towards brain-activity-controlled information retrieval: decoding image relevance from MEG signals. NeuroImage 112, 288\u2013298 (2015)","journal-title":"NeuroImage"},{"key":"27_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.ddtec.2014.02.004","volume":"11","author":"T Lengauer","year":"2014","unstructured":"Lengauer, T., Pfeifer, N., Kaiser, R.: Personalized HIV therapy to control drug resistance. Drug Discovery Today: Technol. 11, 57\u201364 (2014)","journal-title":"Drug Discovery Today: Technol."},{"issue":"12","key":"27_CR14","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1038\/nbt1371","volume":"25","author":"T Lengauer","year":"2007","unstructured":"Lengauer, T., Sander, O., Sierra, S., Thielen, A., Kaiser, R.: Bioinformatics prediction of HIV coreceptor usage. Nat. Biotechnol. 25(12), 1407\u20131410 (2007). https:\/\/doi.org\/10.1038\/nbt1371","journal-title":"Nat. Biotechnol."},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Liu, F., Ng, W.K., Zhang, W.: Encrypted SVM for outsourced data mining. In: 2015 IEEE 8th International Conference on Cloud Computing (CLOUD), pp. 1085\u20131092. IEEE (2015)","DOI":"10.1109\/CLOUD.2015.158"},{"issue":"5","key":"27_CR16","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1038\/nrg2360","volume":"9","author":"JE Lunshof","year":"2008","unstructured":"Lunshof, J.E., Chadwick, R., Vorhaus, D.B., Church, G.M.: From genetic privacy to open consent. Nat. Rev. Genet. 9(5), 406 (2008)","journal-title":"Nat. Rev. Genet."},{"issue":"7640","key":"27_CR17","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1038\/nature21039","volume":"542","author":"E Marouli","year":"2017","unstructured":"Marouli, E., et al.: Rare and low-frequency coding variants alter human adult height. Nature 542(7640), 186 (2017)","journal-title":"Nature"},{"issue":"1","key":"27_CR18","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1186\/1471-2105-5-169","volume":"5","author":"P Meinicke","year":"2004","unstructured":"Meinicke, P., Tech, M., Morgenstern, B., Merkl, R.: Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites. BMC Bioinform. 5(1), 169 (2004)","journal-title":"BMC Bioinform."},{"issue":"1","key":"27_CR19","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1186\/1471-2105-9-369","volume":"9","author":"B Mersch","year":"2008","unstructured":"Mersch, B., Gepperth, A., Suhai, S., Hotz-Wagenblatt, A.: Automatic detection of exonic splicing enhancers (ESEs) using SVMs. BMC Bioinform. 9(1), 369 (2008)","journal-title":"BMC Bioinform."},{"issue":"4","key":"27_CR20","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1038\/ng.3242","volume":"47","author":"K Michailidou","year":"2015","unstructured":"Michailidou, K., et al.: Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. Nat. Genet. 47(4), 373 (2015)","journal-title":"Nat. Genet."},{"key":"27_CR21","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.12688\/f1000research.12353.1","volume":"6","author":"Jing Ming","year":"2017","unstructured":"Ming, J., et al.: COINSTAC: decentralizing the future of brain imaging analysis. F1000Research 6 (2017)","journal-title":"F1000Research"},{"key":"27_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/978-3-540-87361-7_18","volume-title":"Algorithms in Bioinformatics","author":"N Pfeifer","year":"2008","unstructured":"Pfeifer, N., Kohlbacher, O.: Multiple instance learning allows MHC class II epitope predictions across alleles. In: Crandall, K.A., Lagergren, J. (eds.) WABI 2008. LNCS, vol. 5251, pp. 210\u2013221. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-87361-7_18"},{"issue":"3","key":"27_CR23","doi-asserted-by":"publisher","first-page":"S12","DOI":"10.1186\/bcr2431","volume":"11","author":"JS Reis-Filho","year":"2009","unstructured":"Reis-Filho, J.S.: Next-generation sequencing. Breast Cancer Res. 11(3), S12 (2009)","journal-title":"Breast Cancer Res."},{"key":"27_CR24","volume-title":"Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond","author":"B Sch\u00f6lkopf","year":"2002","unstructured":"Sch\u00f6lkopf, B., Smola, A.J., et al.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge (2002)"},{"issue":"2","key":"27_CR25","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s10115-007-0073-7","volume":"14","author":"J Vaidya","year":"2008","unstructured":"Vaidya, J., Yu, H., Jiang, X.: Privacy-preserving SVM classification. Knowl. Inf. Syst. 14(2), 161\u2013178 (2008)","journal-title":"Knowl. Inf. Syst."},{"key":"27_CR26","unstructured":"Yu, A., Lai, W.L., Payor, J.: Efficient integer vector homomorphic encryption (2015)"},{"key":"27_CR27","unstructured":"Zhang, J., Ma, K.K., Er, M.H., Chong, V.: Tumor segmentation from magnetic resonance imaging by learning via one-class support vector machine. In: International Workshop on Advanced Image Technology (IWAIT 2004), pp. 207\u2013211 (2004)"},{"key":"27_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, J., Wang, X., Yiu, S.M., Jiang, Z.L., Li, J.: Secure dot product of outsourced encrypted vectors and its application to SVM. In: Proceedings of the Fifth ACM International Workshop on Security in Cloud Computing, pp. 75\u201382. ACM (2017)","DOI":"10.1145\/3055259.3055270"},{"key":"27_CR29","doi-asserted-by":"crossref","unstructured":"Zhou, H., Wornell, G.: Efficient homomorphic encryption on integer vectors and its applications. In: 2014 Information Theory and Applications Workshop (ITA), pp. 1\u20139. IEEE (2014)","DOI":"10.1109\/ITA.2014.6804228"}],"container-title":["Lecture Notes in Computer Science","Cryptology and Network Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31578-8_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T11:20:19Z","timestamp":1710242419000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-31578-8_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030315771","9783030315788"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31578-8_27","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":"11 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CANS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cryptology and Network Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fuzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"25 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cans2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cans2019.cn\/","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":"55","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":"21","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":"8","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":"38% - 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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}