| |
 |      |
                                               |
Note: Links lead to the DBLP on the Web. Jaideep Vaidya Hwanjo Yu , Jaideep Vaidya, Xiaoqian Jiang : Privacy-Preserving SVM Classification on Vertically Partitioned Data. PAKDD 2006 : 647-656 Jaideep Vaidya, Chris Clifton : Privacy-Preserving Decision Trees over Vertically Partitioned Data. DBSec 2005 : 139-152 Wei Jiang , Jaideep Vaidya, Zahir Balaporia , Chris Clifton , Brett Banich : Knowledge Discovery from Transportation Network Data. ICDE 2005 : 1061-1072 Jaideep Vaidya, Chris Clifton : Privacy-Preserving Top-K Queries. ICDE 2005 : 545-546 Vandana Pursnani Janeja , Vijayalakshmi Atluri , Jaideep Vaidya, Nabil R. Adam : Collusion Set Detection Through Outlier Discovery. ISI 2005 : 1-13 Jaideep Vaidya, Chris Clifton : Secure set intersection cardinality with application to association rule mining. Journal of Computer Security 13 (4): 593-622 (2005) Chris Clifton , Murat Kantarcioglu , AnHai Doan , Gunther Schadow , Jaideep Vaidya, Ahmed K. Elmagarmid , Dan Suciu : Privacy-preserving data integration and sharing. DMKD 2004 : 19-26 Jaideep Vaidya, Chris Clifton : Privacy-Preserving Outlier Detection. ICDM 2004 : 233-240 Jaideep Vaidya, Chris Clifton : Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data. SDM 2004 Jaideep Vaidya, Chris Clifton : Privacy-Preserving Data Mining: Why, How, and When. IEEE Security & Privacy 2 (6): 19-27 (2004) Jaideep Vaidya, Chris Clifton : Privacy-preserving k -means clustering over vertically partitioned data. KDD 2003 : 206-215 Jaideep Vaidya, Chris Clifton : Leveraging the "Multi" in secure multi-party computation. WPES 2003 : 53-59 Jaideep Vaidya, Chris Clifton : Privacy preserving association rule mining in vertically partitioned data. KDD 2002 : 639-644 Chris Clifton , Murat Kantarcioglu , Jaideep Vaidya, Xiaodong Lin , Michael Y. Zhu : Tools for Privacy Preserving Data Mining. SIGKDD Explorations 4 (2): 28-34 (2002) 1 [ 10 ] 2 [ 10 ] 3 [ 12 ] 4 [ 12 ] 5 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 11 ] [ 12 ] [ 13 ] 6 [ 8 ] 7 [ 8 ] 8 [ 10 ] 9 [ 12 ] 10 [ 14 ] 11 [ 1 ] [ 8 ] 12 [ 1 ] 13 [ 8 ] 14 [ 8 ] 15 [ 14 ] 16 [ 1 ]  ©2006 Association for Computing Machinery |
