Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
The formidable difficulty in securing systems stems in large part from the increasing complexity of the systems we build but also the degree to which we now depend on information ...
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Cryptographic techniques for reasoning about information leakage have recently been brought to bear on the classical problem of statistical disclosure control – revealing accurat...