Justin Z. Zhan

2008
20	EE	Justin Z. Zhan, LiWu Chang, Stan Matwin: How to Prevent Private Data from being Disclosed to a Malicious Attacker. Data Mining: Foundations and Practice 2008: 517-528
19	EE	Justin Z. Zhan, Stan Matwin, LiWu Chang: Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data. Data Mining: Foundations and Practice 2008: 529-538
2007
18	EE	Justin Z. Zhan: Quantifying Privacy for Privacy Preserving Data Mining. CIDM 2007: 630-636
17	EE	Justin Z. Zhan: Using Homomorphic Encryption For Privacy-Preserving Collaborative Decision Tree Classification. CIDM 2007: 637-645
16	EE	Yitao Duan, John F. Canny, Justin Z. Zhan: Efficient Privacy-Preserving Association Rule Mining: P4P Style. CIDM 2007: 654-660
15	EE	Justin Z. Zhan: Privacy Preserving Collaborative Data Mining. ISI 2007: 208
14	EE	Justin Z. Zhan: Using Homomorphic Encryption and Digital Envelope Techniques for Privacy Preserving Collaborative Sequential Pattern Mining. ISI 2007: 331-334
13	EE	Justin Z. Zhan, Stan Matwin, LiWu Chang: Privacy-preserving multi-party decision tree induction. IJBIDM 2(2): 197-212 (2007)
12	EE	Justin Z. Zhan, Stan Matwin: Privacy-preserving support vector machine classification. IJIIDS 1(3/4): 356-385 (2007)
11	EE	Justin Z. Zhan, Stan Matwin, LiWu Chang: Privacy-preserving collaborative association rule mining. J. Network and Computer Applications 30(3): 1216-1227 (2007)
2006
10	EE	Justin Z. Zhan, Stan Matwin: A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. ICDM Workshops 2006: 546-550
9	EE	Justin Z. Zhan: Using Cryptography for Privacy Protection in Data Mining Systems. WImBI 2006: 494-513
8	EE	Justin Z. Zhan, LiWu Chang, Stan Matwin: Privacy-Preserving Collaborative Data Mining. Foundations and Novel Approaches in Data Mining 2006: 213-227
2005
7	EE	Justin Z. Zhan, Stan Matwin, LiWu Chang: Privacy-Preserving Collaborative Association Rule Mining. DBSec 2005: 153-165
6	EE	Justin Z. Zhan, LiWu Chang, Stan Matwin: Building k-nearest neighbor classifiers on vertically partitioned private data. GrC 2005: 708-711
5	EE	Justin Z. Zhan, Stan Matwin, LiWu Chang: Private Mining of Association Rules. ISI 2005: 72-80
2004
4		Justin Z. Zhan, LiWu Chang, Stan Matwin: Privacy-Preserving Multi-Party Decision Tree Induction. DBSec 2004: 341-355
3		Justin Z. Zhan, LiWu Chang, Stan Matwin: Bayesian Network Induction With Incomplete Private Data. ICEB 2004: 1119-1124
2		Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, LiWu Chang: Privacy-Preserving Collaborative Association Rule Mining. ICEB 2004: 1172-1178
1		Justin Z. Zhan, Stan Matwin: Privacy-Preserving Data Mining in Electronic Surveys. ICEB 2004: 1179-1185

Coauthor Index

1	John F. Canny (John Canny)	[16]
2	LiWu Chang	[2] [3] [4] [5] [6] [7] [8] [11] [13] [19] [20]
3	Yitao Duan	[16]
4	Nathalie Japkowicz	[2]
5	Stan Matwin	[1] [2] [3] [4] [5] [6] [7] [8] [10] [11] [12] [13] [19] [20]

Colors in the list of coauthors