{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T03:23:45Z","timestamp":1762917825070,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T00:00:00Z","timestamp":1517529600000},"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":["The VLDB Journal"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s00778-017-0492-3","type":"journal-article","created":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T08:27:28Z","timestamp":1517560048000},"page":"201-223","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["PrivPfC: differentially private data publication for classification"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1410-2468","authenticated-orcid":false,"given":"Dong","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianneng","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ninghui","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,2,2]]},"reference":[{"key":"492_CR1","unstructured":"Asuncion, A., Newman, D.: UCI machine learning repository (2010)"},{"key":"492_CR2","doi-asserted-by":"crossref","unstructured":"Bayardo, R.J., Agrawal, R.: Data privacy through optimal $$k$$ k -anonymization. In: ICDE, pp. 217\u2013228 (2005)","DOI":"10.1109\/ICDE.2005.42"},{"key":"492_CR3","volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, Secaucus (2006)"},{"key":"492_CR4","doi-asserted-by":"crossref","unstructured":"Blum, A., Dwork, C., McSherry, F., Nissim, K.: Practical privacy: the SuLQ framework. In: PODS, pp. 128\u2013138 (2005)","DOI":"10.1145\/1065167.1065184"},{"key":"492_CR5","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1\u201327:27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"492_CR6","unstructured":"Chaudhuri, K., Monteleoni, C.: Privacy-preserving logistic regression. In: NIPS, pp. 289\u2013296 (2008)"},{"key":"492_CR7","first-page":"1069","volume":"12","author":"K Chaudhuri","year":"2011","unstructured":"Chaudhuri, K., Monteleoni, C., Sarwate, A.D.: Differentially private empirical risk minimization. J. Mach. Learn. Res. 12, 1069\u20131109 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"1\u20132","key":"492_CR8","first-page":"1045","volume":"3","author":"G Cormode","year":"2010","unstructured":"Cormode, G., Srivastava, D., Li, N., Li, T.: Minimizing minimality and maximizing utility: analyzing method-based attacks on anonymized data. PVLDB 3(1\u20132), 1045\u20131056 (2010)","journal-title":"PVLDB"},{"key":"492_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0711-5","volume-title":"A Probabilistic Theory of Pattern Recognition. Applications of Mathematics","author":"L Devroye","year":"1996","unstructured":"Devroye, L., Gy\u00f6rfi, L., Lugosi, G.: A Probabilistic Theory of Pattern Recognition. Applications of Mathematics. Springer, Berlin (1996)"},{"key":"492_CR10","doi-asserted-by":"crossref","unstructured":"Dwork, C.: Differential privacy. In: ICALP, pp. 1\u201312 (2006)","DOI":"10.1007\/11787006_1"},{"key":"492_CR11","doi-asserted-by":"crossref","unstructured":"Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: TCC, pp. 265\u2013284 (2006)","DOI":"10.1007\/11681878_14"},{"key":"492_CR12","doi-asserted-by":"crossref","unstructured":"Fredrikson, M., Jha, S., Ristenpart, T.: Model inversion attacks that exploit confidence information and basic countermeasures. In: CCS, pp. 1322\u20131333 (2015)","DOI":"10.1145\/2810103.2813677"},{"key":"492_CR13","unstructured":"Fredrikson, M., Lantz, E., Jha, S., Lin, S., Page, D., Ristenpart, T.: Privacy in pharmacogenetics: an end-to-end case study of personalized warfarin dosing. In: USENIX Security Symposium, pp. 17\u201332 (2014)"},{"key":"492_CR14","doi-asserted-by":"crossref","unstructured":"Friedman, A., Schuster, A.: Data mining with differential privacy. In: KDD, pp. 493\u2013502 (2010)","DOI":"10.1145\/1835804.1835868"},{"key":"492_CR15","doi-asserted-by":"crossref","unstructured":"Fung, B.C.M., Wang, K., Yu, P.S.: Top-down specialization for information and privacy preservation. In: ICDE, pp. 205\u2013216 (2005)","DOI":"10.1109\/ICDE.2005.143"},{"key":"492_CR16","doi-asserted-by":"crossref","unstructured":"Geng, X., Liu, T.Y., Qin, T., Li, H.: Feature selection for ranking. In: SIGIR, pp. 407\u2013414 (2007)","DOI":"10.1145\/1277741.1277811"},{"key":"492_CR17","doi-asserted-by":"crossref","unstructured":"Hay, M., Machanavajjhala, A., Miklau, G., Chen, Y., Zhang, D.: Principled evaluation of differentially private algorithms using dpbench. In: SIGMOD, pp. 139\u2013154 (2016)","DOI":"10.1145\/2882903.2882931"},{"key":"492_CR18","doi-asserted-by":"crossref","unstructured":"Iyengar, V.S.: Transforming data to satisfy privacy constraints. In: KDD, pp. 279\u2013288 (2002)","DOI":"10.1145\/775047.775089"},{"key":"492_CR19","first-page":"273","volume":"5","author":"G Jagannathan","year":"2012","unstructured":"Jagannathan, G., Pillaipakkamnatt, K., Wright, R.N.: A practical differentially private random decision tree classifier. Trans. Data Priv. 5, 273\u2013295 (2012)","journal-title":"Trans. Data Priv."},{"key":"492_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0173-1","volume-title":"The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance","author":"S Kotz","year":"2001","unstructured":"Kotz, S., Kozubowski, T., Podgorski, K.: The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance. Springer, Berlin (2001)"},{"key":"492_CR21","doi-asserted-by":"crossref","unstructured":"LeFevre, K., DeWitt, D., Ramakrishnan, R.: Incognito: efficient full-domain $$k$$ k -anonymity. In: SIGMOD, pp. 49\u201360 (2005)","DOI":"10.1145\/1066157.1066164"},{"key":"492_CR22","doi-asserted-by":"crossref","unstructured":"LeFevre, K., DeWitt, D., Ramakrishnan, R.: Mondrian multidimensional $$k$$ k -anonymity. In: ICDE, p. 25 (2006)","DOI":"10.1109\/ICDE.2006.101"},{"key":"492_CR23","unstructured":"Lei, J.: Differentially private m-estimators. In: NIPS, pp. 361\u2013369 (2011)"},{"key":"492_CR24","doi-asserted-by":"crossref","unstructured":"McSherry, F., Talwar, K.: Mechanism design via differential privacy. In: FOCS, pp. 94\u2013103 (2007)","DOI":"10.1109\/FOCS.2007.66"},{"key":"492_CR25","doi-asserted-by":"publisher","unstructured":"Minnesota Population Center: Integrated Public Use Microdata Series, International: Version 6.5 [dataset]. University of Minnesota, Minneapolis (2017). https:\/\/doi.org\/10.18128\/D020.V6.5","DOI":"10.18128\/D020.V6.5"},{"key":"492_CR26","doi-asserted-by":"crossref","unstructured":"Mohammed, N., Chen, R., Fung, B.C.M., Yu, P.S.: Differentially private data release for data mining. In: KDD, pp. 493\u2013501 (2011)","DOI":"10.1145\/2020408.2020487"},{"key":"492_CR27","doi-asserted-by":"crossref","unstructured":"Qardaji, W., Yang, W., Li, N.: Differentially private grids for geospatial data. In: ICDE, pp. 757\u2013768 (2013)","DOI":"10.1109\/ICDE.2013.6544872"},{"issue":"14","key":"492_CR28","first-page":"1954","volume":"6","author":"W Qardaji","year":"2013","unstructured":"Qardaji, W., Yang, W., Li, N.: Understanding hierarchical methods for differentially private histograms. PVLDB 6(14), 1954\u20131965 (2013)","journal-title":"PVLDB"},{"key":"492_CR29","doi-asserted-by":"publisher","unstructured":"Ruggles, S., Genadek, K., Goeken, R., Grover, J., Sobek, M.: Integrated Public Use Microdata Series: Version 7.0 [dataset]. University of Minnesota, Minneapolis (2017). https:\/\/doi.org\/10.18128\/D010.V7.0","DOI":"10.18128\/D010.V7.0"},{"key":"492_CR30","doi-asserted-by":"crossref","unstructured":"Shokri, R., Stronati, M., Song, C., Shmatikov, V.: Membership inference attacks against machine learning models. In: 2017 IEEE Symposium on Security and Privacy, SP 2017, San Jose, CA, USA, May 22\u201326, 2017, pp. 3\u201318 (2017)","DOI":"10.1109\/SP.2017.41"},{"key":"492_CR31","doi-asserted-by":"crossref","unstructured":"Su, D., Cao, J., Li, N., Bertino, E., Jin, H.: Differentially private k-means clustering. In: Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, CODASPY 2016, New Orleans, LA, USA, March 9\u201311, 2016, pp. 26\u201337 (2016)","DOI":"10.1145\/2857705.2857708"},{"issue":"4","key":"492_CR32","doi-asserted-by":"publisher","first-page":"16:1","DOI":"10.1145\/3133201","volume":"20","author":"D Su","year":"2017","unstructured":"Su, D., Cao, J., Li, N., Bertino, E., Lyu, M., Jin, H.: Differentially private k-means clustering and a hybrid approach to private optimization. ACM Trans. Priv. Secur. 20(4), 16:1\u201316:33 (2017)","journal-title":"ACM Trans. Priv. Secur."},{"key":"492_CR33","unstructured":"Therneau, T.M., Atkinson, B.: Package: rpart (2014). http:\/\/cran.r-project.org\/web\/packages\/rpart\/rpart.pdf"},{"key":"492_CR34","doi-asserted-by":"crossref","unstructured":"Vinterbo, S A.: Differentially private projected histograms: construction and use for prediction. In: ECML PKDD\u201912, pp. 19\u201334 (2012)","DOI":"10.1007\/978-3-642-33486-3_2"},{"key":"492_CR35","unstructured":"Wong, R.C.W., Fu, A. W. C., Wang, K., Pei, J.: Minimality attack in privacy preserving data publishing. In: VLDB, pp. 543\u2013554 (2007)"},{"key":"492_CR36","unstructured":"Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: ICML, pp. 412\u2013420 (1997)"},{"key":"492_CR37","doi-asserted-by":"crossref","unstructured":"Zhang, J., Cormode, G., Procopiuc, C.M., Srivastava, D., Xiao, X.: Privbayes: private data release via bayesian networks. In: SIGMOD \u201914, pp. 1423\u20131434 (2014)","DOI":"10.1145\/2588555.2588573"},{"key":"492_CR38","doi-asserted-by":"crossref","unstructured":"Zhang, J., XiaoXia, X., Yang, Y., Zhang, Z., Winslett, M.: Privgene: differentially private model fitting using genetic algorithms. In: SIGMOD \u201913, pp. 665\u2013676 (2013)","DOI":"10.1145\/2463676.2465330"},{"issue":"11","key":"492_CR39","first-page":"1364","volume":"5","author":"J Zhang","year":"2012","unstructured":"Zhang, J., Zhang, Z., Xiao, X., Yang, Y., Winslett, M.: Functional mechanism: regression analysis under differential privacy. PVLDB 5(11), 1364\u20131375 (2012)","journal-title":"PVLDB"}],"container-title":["The VLDB Journal"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00778-017-0492-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00778-017-0492-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00778-017-0492-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T01:50:28Z","timestamp":1570672228000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00778-017-0492-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,2]]},"references-count":39,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["492"],"URL":"https:\/\/doi.org\/10.1007\/s00778-017-0492-3","relation":{},"ISSN":["1066-8888","0949-877X"],"issn-type":[{"type":"print","value":"1066-8888"},{"type":"electronic","value":"0949-877X"}],"subject":[],"published":{"date-parts":[[2018,2,2]]},"assertion":[{"value":"25 September 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 November 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 December 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}