| 2008 |
|---|
| 13 | EE | Sheng Zhong,
Zhiqiang Yang:
Guided perturbation: towards private and accurate mining.
VLDB J. 17(5): 1165-1177 (2008) |
| 2007 |
|---|
| 12 | EE | Zhiqiang Yang,
Sheng Zhong,
Rebecca N. Wright:
Towards Privacy-Preserving Model Selection.
PinKDD 2007: 138-152 |
| 2006 |
|---|
| 11 | EE | Zhiqiang Yang,
Sheng Zhong,
Rebecca N. Wright:
Privacy-Preserving Queries on Encrypted Data.
ESORICS 2006: 479-495 |
| 10 | | Zhiqiang Yang,
Rebecca N. Wright,
Hiranmayee Subramaniam:
Experimental analysis of a privacy-preserving scalar product protocol.
Comput. Syst. Sci. Eng. 21(1): (2006) |
| 9 | EE | Zhiqiang Yang,
Rebecca N. Wright:
Privacy-Preserving Computation of Bayesian Networks on Vertically Partitioned Data.
IEEE Trans. Knowl. Data Eng. 18(9): 1253-1264 (2006) |
| 2005 |
|---|
| 8 | EE | Zhiqiang Yang,
Rebecca N. Wright:
Improved Privacy-Preserving Bayesian Network Parameter Learning on Vertically Partitioned Data.
ICDE Workshops 2005: 1196 |
| 7 | EE | Zhiqiang Yang,
Sheng Zhong,
Rebecca N. Wright:
Anonymity-preserving data collection.
KDD 2005: 334-343 |
| 6 | EE | Rebecca N. Wright,
Zhiqiang Yang,
Sheng Zhong:
Distributed Data Mining Protocols for Privacy: A Review of Some Recent Results.
MADNES 2005: 67-79 |
| 5 | EE | Sheng Zhong,
Zhiqiang Yang,
Rebecca N. Wright:
Privacy-enhancing k-anonymization of customer data.
PODS 2005: 139-147 |
| 4 | | Zhiqiang Yang,
Sheng Zhong,
Rebecca N. Wright:
Privacy-Preserving Classification of Customer Data without Loss of Accuracy.
SDM 2005 |
| 2004 |
|---|
| 3 | EE | Rebecca N. Wright,
Zhiqiang Yang:
Privacy-preserving Bayesian network structure computation on distributed heterogeneous data.
KDD 2004: 713-718 |
| 2 | EE | Hiranmayee Subramaniam,
Rebecca N. Wright,
Zhiqiang Yang:
Experimental Analysis of Privacy-Preserving Statistics Computation.
Secure Data Management 2004: 55-66 |
| 2003 |
|---|
| 1 | EE | Jishun Kuang,
Zhiqiang Yang,
Qijian Zhu,
Yinghua Min:
IDDT: Fundamentals and Test Generation.
J. Comput. Sci. Technol. 18(3): 299-307 (2003) |
