| Privacy preserving association rule mining in vertically partitioned data J Vaidya, C Clifton Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 1495 | 2002 |
| Privacy-preserving distributed mining of association rules on horizontally partitioned data M Kantarcioglu, C Clifton IEEE transactions on knowledge and data engineering 16 (9), 1026-1037, 2004 | 1477 | 2004 |
| Tools for privacy preserving distributed data mining C Clifton, M Kantarcioglu, J Vaidya, X Lin, MY Zhu ACM Sigkdd Explorations Newsletter 4 (2), 28-34, 2002 | 1308 | 2002 |
| Privacy-preserving k-means clustering over vertically partitioned data J Vaidya, C Clifton Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 1038 | 2003 |
| Hiding the presence of individuals from shared databases ME Nergiz, M Atzori, C Clifton Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007 | 596 | 2007 |
| SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks WS Li, C Clifton Data & Knowledge Engineering 33 (1), 49-84, 2000 | 588 | 2000 |
| Using unknowns to prevent discovery of association rules Y Saygin, VS Verykios, C Clifton ACM Sigmod Record 30 (4), 45-54, 2001 | 513 | 2001 |
| Security and privacy implications of data mining C Clifton, D Marks ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge …, 1996 | 470 | 1996 |
| How Much Is Enough? Choosing ε for Differential Privacy J Lee, C Clifton International Conference on Information Security, 325-340, 2011 | 416 | 2011 |
| Privacy-preserving data mining C Clifton Encyclopedia of Database Systems, 2819-2821, 2018 | 345 | 2018 |
| Semantic integration in heterogeneous databases using neural networks WS Li, C Clifton Proceedings of the 20th international conference on very large data bases, 1994 | 345 | 1994 |
| Secure set intersection cardinality with application to association rule mining J Vaidya, C Clifton Journal of Computer Security 13 (4), 593-622, 2005 | 301 | 2005 |
| On syntactic anonymity and differential privacy C Clifton, T Tassa 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW …, 2013 | 296 | 2013 |
| Privacy-preserving data integration and sharing C Clifton, M Kantarcioǧlu, AH Doan, G Schadow, J Vaidya, A Elmagarmid, ... Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining …, 2004 | 289 | 2004 |
| Privacy-preserving naive bayes classification J Vaidya, M Kantarcıoğlu, C Clifton The VLDB Journal 17 (4), 879-898, 2008 | 276 | 2008 |
| Privacy preserving naive bayes classifier for vertically partitioned data J Vaidya, C Clifton Proceedings of the 2004 SIAM international conference on data mining, 522-526, 2004 | 276 | 2004 |
| Topcat: Data mining for topic identification in a text corpus C Clifton, R Cooley, J Rennie IEEE transactions on knowledge and data engineering 16 (8), 949-964, 2004 | 273* | 2004 |
| Defining privacy for data mining C Clifton, M Kantarcioglu, J Vaidya National science foundation workshop on next generation data mining 1 (26), 1, 2002 | 268 | 2002 |
| Query flocks: A generalization of association-rule mining D Tsur, JD Ullman, S Abiteboul, C Clifton, R Motwani, S Nestorov, ... Acm sigmod record 27 (2), 1-12, 1998 | 266 | 1998 |
| A secure distributed framework for achieving k-anonymity W Jiang, C Clifton The VLDB journal 15 (4), 316-333, 2006 | 265 | 2006 |
