{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T11:17:52Z","timestamp":1778671072951,"version":"3.51.4"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T00:00:00Z","timestamp":1401148800000},"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":["Knowl Inf Syst"],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1007\/s10115-014-0751-1","type":"journal-article","created":{"date-parts":[[2014,5,26]],"date-time":"2014-05-26T13:52:58Z","timestamp":1401112378000},"page":"147-176","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Secure support vector machines outsourcing with random linear transformation"],"prefix":"10.1007","volume":"44","author":[{"given":"Keng-Pei","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Wei","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming-Syan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,5,27]]},"reference":[{"key":"751_CR1","unstructured":"Standard for privacy of individually identifiable health information, 2001. [Online]. http:\/\/www.hhs.gov\/ocr\/privacy\/index.html"},{"key":"751_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal CC, Yu PS (2004) A condensation approach to privacy preserving data mining. In: Proceedings of the 9th international conference on extending database technology (EDBT)","DOI":"10.1007\/978-3-540-24741-8_12"},{"key":"751_CR3","doi-asserted-by":"crossref","unstructured":"Agrawal D, Aggarwal CC (2001) On the design and quantification of privacy preserving data mining algorithms. In: Proceedings of the 20th ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems (PODS)","DOI":"10.1145\/375551.375602"},{"key":"751_CR4","doi-asserted-by":"crossref","unstructured":"Agrawal R, Kiernan J, Srikant R, Xu Y (2004) Order preserving encryption for numeric data. In: Proceedings of the 2004 ACM SIGMOD international conference on management of data (SIGMOD)","DOI":"10.1145\/1007568.1007632"},{"key":"751_CR5","doi-asserted-by":"crossref","unstructured":"Agrawal R, Srikant R (2000) Privacy preserving data mining. In: Proceedings of the 2000 ACM SIGMOD international conference on management of data (SIGMOD)","DOI":"10.1145\/342009.335438"},{"key":"751_CR6","unstructured":"Bache K, Lichman M (2013) UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml"},{"key":"751_CR7","unstructured":"Chang C-C, Lin C-J (2001) LIBSVM: a library for support vector machines. Software available at http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"751_CR8","doi-asserted-by":"crossref","unstructured":"Chen K, Liu L (2005) Privacy preserving data classification with rotation perturbation. In: Proceedings of the 5th IEEE international conference on data mining (ICDM)","DOI":"10.1109\/ICDM.2005.121"},{"key":"751_CR9","doi-asserted-by":"crossref","unstructured":"Chen K, Sun G, Liu L (2007) Towards attack-resilient geometric data perturbation. In: Proceedings of the 7th SIAM international conference on data mining (SDM)","DOI":"10.1137\/1.9781611972771.8"},{"issue":"6","key":"751_CR10","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1109\/69.553155","volume":"8","author":"M-S Chen","year":"1996","unstructured":"Chen M-S, Han J, Yu PS (1996) Data mining: an overview from database perspective. IEEE Trans Knowl Data Eng 8(6):866\u2013883","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"751_CR11","doi-asserted-by":"crossref","unstructured":"Evfimievski A, Srikant R, Agrawal R, Gehrke J (2002) Privacy preserving mining of association rules. In: Proceedings of the 8th ACM SIGKDD international conference on knowledge discovery and data mining (KDD)","DOI":"10.1145\/775047.775080"},{"key":"751_CR12","doi-asserted-by":"crossref","unstructured":"Gentry C (2009) Fully homomorphic encryption using ideal lattices. In: Proceedings of the 41st annual ACM symposium on theory of computing (STOC)","DOI":"10.1145\/1536414.1536440"},{"issue":"3","key":"751_CR13","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1145\/1666420.1666444","volume":"53","author":"C Gentry","year":"2010","unstructured":"Gentry C (2010) Computing arbitrary functions of encrypted data. Commun ACM 53(3):97\u2013105","journal-title":"Commun ACM"},{"issue":"2","key":"751_CR14","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/0022-0000(84)90070-9","volume":"28","author":"S Goldwasser","year":"1984","unstructured":"Goldwasser S, Micali S (1984) Probabilistic encryption. J Comput Syst Sci 28(2):270\u2013299","journal-title":"J Comput Syst Sci"},{"key":"751_CR15","doi-asserted-by":"crossref","unstructured":"Hac\u0131g\u00fcm\u00fc\u015f H, Iyer B, Li C, Mehrotra S (2002) Executing SQL over encrypted data in the database-service-provider model. In: Proceedings of the 2002 ACM SIGMOD international conference on management of data (SIGMOD)","DOI":"10.1145\/564691.564717"},{"key":"751_CR16","unstructured":"Hsu C-W, Chang C-C, Lin C-J (2003) A practical guide to support vector classification. Department of Computer Science, National Taiwan University. Technical report. http:\/\/www.csie.ntu.edu.tw\/~cjlin\/papers\/guide\/guide.pdf"},{"key":"751_CR17","doi-asserted-by":"crossref","unstructured":"Inan A, Kantarcioglu M, Bertino E (2009) Using anonymized data for classification. In: Proceedings of the 25th IEEE international conference on data engineering (ICDE)","DOI":"10.1109\/ICDE.2009.19"},{"issue":"9","key":"751_CR18","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1109\/TKDE.2004.45","volume":"16","author":"M Kantarcioglu","year":"2004","unstructured":"Kantarcioglu M, Clifton C (2004) Privacy-preserving distributed mining of association rules on horizontally partitioned data. IEEE Trans Knowl Data Eng 16(9):1026\u20131037","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"751_CR19","doi-asserted-by":"crossref","unstructured":"Laur S, Lipmaa H, Mielik\u00e4inen T (2006) Cryptographically private support vector machines. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining (KDD)","DOI":"10.1145\/1150402.1150477"},{"issue":"1","key":"751_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TNN.2006.883722","volume":"18","author":"Y-J Lee","year":"2007","unstructured":"Lee Y-J, Huang S-Y (2007) Reduced support vector machines: a statistical theory. IEEE Trans Neural Netw 18(1):1\u201313","journal-title":"IEEE Trans Neural Netw"},{"key":"751_CR21","doi-asserted-by":"crossref","unstructured":"Lee Y-J, Mangasarian OL (2001) RSVM: reduced support vector machines. In: Proceedings of the 1st SIAM international conference on data mining (SDM)","DOI":"10.1137\/1.9781611972719.13"},{"issue":"1","key":"751_CR22","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1011215321374","volume":"20","author":"Y-J Lee","year":"2001","unstructured":"Lee Y-J, Mangasarian OL (2001) SSVM: a smooth support vector machine for classification. Comput Optim Appl 20(1):5\u201322","journal-title":"Comput Optim Appl"},{"issue":"6","key":"751_CR23","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1109\/TNN.2003.820828","volume":"14","author":"K-M Lin","year":"2003","unstructured":"Lin K-M, Lin C-J (2003) A study on reduced support vector machines. IEEE Trans Neural Netw 14(6):1449\u20131459","journal-title":"IEEE Trans Neural Netw"},{"key":"751_CR24","doi-asserted-by":"crossref","unstructured":"Lin K-P, Chen M-S (2008) Releasing the SVM classifier with privacy-preservation. In: Proceedings of the 8th IEEE international conference on data mining (ICDM)","DOI":"10.1109\/ICDM.2008.19"},{"key":"751_CR25","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s00145-001-0019-2","volume":"15","author":"Y Lindell","year":"2002","unstructured":"Lindell Y, Pinkas B (2002) Privacy preserving data mining. J Cryptol 15:177\u2013206","journal-title":"J Cryptol"},{"key":"751_CR26","doi-asserted-by":"crossref","unstructured":"Machanavajjhala A, Gehrke J, Kifer D, Venkitasubramaniam M (2006) $$l$$ l -Diversity: privacy beyond $$k$$ k -anonymity. In: Proceedings of the 22nd IEEE international conference on data engineering (ICDE), pp 24\u201324","DOI":"10.1109\/ICDE.2006.1"},{"key":"751_CR27","doi-asserted-by":"crossref","unstructured":"Mangasarian OL, Wild EW, Fung GM (2008) Privacy-preserving classification of vertically partitioned data via random kernels. ACM Trans Knowl Discov Data 2(3):12:1\u201312:16","DOI":"10.1145\/1409620.1409622"},{"key":"751_CR28","unstructured":"Mangasarian OL, Wild T (2007) Privacy-preserving classification of horizontally partitioned data via random kernels. 07-03, Data Mining Institute, Computer Sciences Department, University of Wisconsin\u2013Madison, technical report"},{"key":"751_CR29","doi-asserted-by":"crossref","unstructured":"Paillier P (1999) Public-key cryptosystems based on composite degree residuosity classes. In: Advances in cryptography\u2014EUROCRYPT\u201999, vol 1592 of lecture notes in computer science. Springer, Berlin, pp 223\u2013238","DOI":"10.1007\/3-540-48910-X_16"},{"issue":"2","key":"751_CR30","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1145\/772862.772865","volume":"4","author":"B Pinkas","year":"2002","unstructured":"Pinkas B (2002) Cryptographic techniques for privacy-preserving data mining. ACM SIGKDD Explor Newsl 4(2):12\u201319","journal-title":"ACM SIGKDD Explor Newsl"},{"key":"751_CR31","doi-asserted-by":"crossref","unstructured":"Platt JC (1998) Fast training of support vector machines using sequential minimal optimization. In: Sch\u00f6lkopf B, Burges CJC, Mika S (eds) Advances in kernel methods: support vector learning. MIT Press, Cambridge, pp 185\u2013208","DOI":"10.7551\/mitpress\/1130.003.0016"},{"key":"751_CR32","unstructured":"Prokhorov D (2001) IJCNN 2001 neural network competition. Slide presentation in IJCNN\u201901, Ford Research Laboratory, technical report"},{"issue":"6","key":"751_CR33","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1109\/69.971193","volume":"13","author":"P Samarati","year":"2001","unstructured":"Samarati P (2001) Protecting respondents\u2019 identities in microdata release. IEEE Trans Knowl Data Eng 13(6):1010\u20131027","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"751_CR34","volume-title":"Learning with kernels: support vector machines, regularization, optimization, and beyond","author":"B Sch\u00f6lkopf","year":"2002","unstructured":"Sch\u00f6lkopf B, Smola AJ (2002) Learning with kernels: support vector machines, regularization, optimization, and beyond. MIT Press, Cambridge"},{"issue":"5","key":"751_CR35","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1142\/S021848850200165X","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney L (2002) Achieving $$k$$ k -anonymity privacy protection using generalization and suppression. Int J Uncertain Fuzziness Knowl Based Syst 10(5):571\u2013588","journal-title":"Int J Uncertain Fuzziness Knowl Based Syst"},{"issue":"5","key":"751_CR36","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1142\/S0218488502001648","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney L (2002) $$k$$ k -Anonymity: a model for protecting privacy. Int J Uncertain Fuzziness Knowl Based Syst 10(5):557\u2013570","journal-title":"Int J Uncertain Fuzziness Knowl Based Syst"},{"key":"751_CR37","doi-asserted-by":"crossref","unstructured":"Vaidya J, Clifton C (2002) Privacy-preserving association rule mining in vertically partitioned data. In: Proceedings of the 8th ACM SIGKDD international conference on knowledge discovery and data mining (KDD)","DOI":"10.1145\/775047.775142"},{"key":"751_CR38","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s10115-007-0073-7","volume":"14","author":"J Vaidya","year":"2008","unstructured":"Vaidya J, Yu H, Jiang X (2008) Privacy-preserving SVM classification. Knowl Inf Syst 14:161\u2013178","journal-title":"Knowl Inf Syst"},{"key":"751_CR39","volume-title":"Statistical learning theory","author":"VN Vapnik","year":"1998","unstructured":"Vapnik VN (1998) Statistical learning theory. Wiley, Hoboken"},{"key":"751_CR40","unstructured":"Wong WK, Cheung DW, Hung E, Kao B, Mamoulis N (2007) Security in outsourcing of association rule mining. In: Proceedings of the 33rd international conference on very large data bases (VLDB)"},{"key":"751_CR41","doi-asserted-by":"crossref","unstructured":"Wong WK, Cheung DW, Kao B, Mamoulis N (2009) Secure kNN computation on encrypted databases. In: Proceedings of the 35th SIGMOD international conference on management of data (SIGMOD)","DOI":"10.1145\/1559845.1559862"},{"key":"751_CR42","doi-asserted-by":"crossref","unstructured":"Yu H, Jiang X, Vaidya J (2006) Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. In: Proceedings of the 2006 ACM symposium on applied computing (SAC)","DOI":"10.1145\/1141277.1141415"},{"key":"751_CR43","doi-asserted-by":"crossref","unstructured":"Yu H, Vaidya J, Jiang X (2006) Privacy-preserving SVM classification on vertically partitioned data. In: Proceedings of the 10th Pacific-Asia conference on knowledge discovery and data mining (PAKDD)","DOI":"10.1007\/11731139_74"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-014-0751-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-014-0751-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-014-0751-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T16:16:42Z","timestamp":1689265002000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-014-0751-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,5,27]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,7]]}},"alternative-id":["751"],"URL":"https:\/\/doi.org\/10.1007\/s10115-014-0751-1","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,5,27]]}}}