| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Yitao Duan, NetEase Youdao, John Canny, Justin Z. Zhan |
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users.  |
USENIX Security Symposium  |
2010 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin, LiWu Chang |
Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data.  |
Data Mining: Foundations and Practice  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin, LiWu Chang |
Privacy-preserving collaborative association rule mining.  |
J. Network and Computer Applications  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin |
Privacy-preserving support vector machine classification.  |
IJIIDS  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin |
Privacy-Preserving Data Mining in Electronic Surveys.  |
I. J. Network Security  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin, LiWu Chang |
Privacy-preserving multi-party decision tree induction.  |
IJBIDM  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan |
Privacy Preserving Collaborative Data Mining.  |
ISI  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan |
Using Homomorphic Encryption and Digital Envelope Techniques for Privacy Preserving Collaborative Sequential Pattern Mining.  |
ISI  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Yitao Duan, John F. Canny, Justin Z. Zhan |
Efficient Privacy-Preserving Association Rule Mining: P4P Style.  |
CIDM  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan |
Quantifying Privacy for Privacy Preserving Data Mining.  |
CIDM  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan |
Using Homomorphic Encryption For Privacy-Preserving Collaborative Decision Tree Classification.  |
CIDM  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, LiWu Chang, Stan Matwin |
Privacy-Preserving Collaborative Data Mining.  |
Foundations and Novel Approaches in Data Mining  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin |
A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining.  |
ICDM Workshops  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan |
Using Cryptography for Privacy Protection in Data Mining Systems.  |
WImBI  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, LiWu Chang, Stan Matwin |
Privacy Preserving K-nearest Neighbor Classification.  |
I. J. Network Security  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin, LiWu Chang |
Private Mining of Association Rules.  |
ISI  |
2005 |
DBLP DOI BibTeX RDF |
security, Privacy, association rule mining |
| 1 | Justin Z. Zhan, LiWu Chang, Stan Matwin |
Building k-nearest neighbor classifiers on vertically partitioned private data.  |
GrC  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin, LiWu Chang |
Privacy-Preserving Collaborative Association Rule Mining.  |
DBSec  |
2005 |
DBLP DOI BibTeX RDF |
security, Privacy, association rule mining |
| 1 | Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, LiWu Chang |
Privacy-Preserving Collaborative Association Rule Mining.  |
ICEB  |
2004 |
DBLP BibTeX RDF |
|
| 1 | Justin Z. Zhan, LiWu Chang, Stan Matwin |
Bayesian Network Induction With Incomplete Private Data.  |
ICEB  |
2004 |
DBLP BibTeX RDF |
|
| 1 | Justin Z. Zhan, Stan Matwin |
Privacy-Preserving Data Mining in Electronic Surveys.  |
ICEB  |
2004 |
DBLP BibTeX RDF |
|
| 1 | Justin Z. Zhan, LiWu Chang, Stan Matwin |
Privacy-Preserving Multi-Party Decision Tree Induction.  |
DBSec  |
2004 |
DBLP BibTeX RDF |
|