Databases Reference
In-Depth Information
83. Moskowitz I., Chang L.: A decision theoretic system for information downgrad-
ing.
Joint Conference on Information Sciences
, 2000.
84. Nabar S., Marthi B., Kenthapadi K., Mishra N., Motwani R.: Towards Robust-
ness in Query Auditing.
VLDB Conference
, 2006.
85. Naor M., Pinkas B.: Ecient Oblivious Transfer Protocols,
SODA Conference
,
2001.
86. Natwichai J., Li X., Orlowska M.: A Reconstruction-based Algorithm for Clas-
sification Rules Hiding.
Australasian Database Conference
, 2006.
87. Oliveira S. R. M., Zaane O.: Privacy Preserving Clustering by Data Transfor-
mation,
Proc. 18th Brazilian Symp. Databases
, pp. 304-318, Oct. 2003.
88. Oliveira S. R. M., Zaiane O.: Data Perturbation by Rotation for Privacy-
Preserving Clustering,
Technical Report TR04-17
, Department of Computing
Science, University of Alberta, Edmonton, AB, Canada, August 2004.
89. Oliveira S. R. M., Zaiane O., Saygin Y.: Secure Association-Rule Sharing.
PAKDD Conference
, 2004.
90. Pinkas B.: Cryptographic Techniques for Privacy-Preserving Data Mining.
ACM SIGKDD Explorations
, 4(2), 2002.
91. Polat H., Du W.: SVD-based collaborative filtering with privacy.
ACM SAC
Symposium
, 2005.
92. Polat H., Du W.: Privacy-Preserving Top-N Recommendations on Horizontally
Partitioned Data.
Web Intelligence
, 2005.
93. Rabin M. O.: How to exchange secrets by oblivious transfer,
Technical Report
TR-81, Aiken Corporation Laboratory, 1981.
94. Reiss S.: Security in Databases: A combinatorial Study,
Journal of ACM
, 26(1),
1979.
95. Rizvi S., Haritsa J.: Maintaining Data Privacy in Association Rule Mining.
VLDB Conference
, 2002.
96. Saygin Y., Verykios V., Clifton C.: Using Unknowns to prevent discovery of
Association Rules,
ACM SIGMOD Record
, 30(4), 2001.
97. Saygin Y., Verykios V., Elmagarmid A.: Privacy-Preserving Association Rule
Mining,
12th International Workshop on Research Issues in Data Engineering
,
2002.
98. Samarati P.: Protecting Respondents' Identities in Microdata Release. IEEE
Trans. Knowl. Data Eng. 13(6): 1010-1027 (2001).
99. Shannon C. E.: The Mathematical Theory of Communication, University of
Illinois Press, 1949.
100. Silverman B. W.: Density Estimation for Statistics and Data Analysis.
Chap-
man and Hall
, 1986.
101. Vaidya J., Clifton C.: Privacy-Preserving Association Rule Mining in Vertically
Partitioned Databases.
ACM KDD Conference
, 2002.
102. Vaidya J., Clifton C.: Privacy-Preserving
k
-means clustering over vertically
partitioned Data.
ACM KDD Conference
, 2003.
103. Vaidya J., Clifton C.: Privacy-Preserving Naive Bayes Classifier over vertically
partitioned data.
SIAM Conference
, 2004.
104. Vaidya J., Clifton C.: Privacy-Preserving Decision Trees over vertically parti-
tioned data.
Lecture Notes in Computer Science
, Vol 3654, 2005.
105. Verykios V. S., Bertino E., Fovino I. N., Provenza L. P., Saygin Y., Theodoridis
Y.: State-of-the-art in privacy preserving data mining.
ACM SIGMOD Record
,
v.33 n.1, 2004.