Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult
for the d...
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...
Cryptographic techniques for reasoning about information leakage have recently been brought to bear on the classical problem of statistical disclosure control – revealing accurat...
In this paper we develop a language of mobile agents called uPLAN for describing the capabilities of active (programmable) networks. We use a formal semantics for uPLAN to demonst...