We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...
This paper describes the design of a peer-to-peer network that supports integrity and confidentiality labeling of shared data. A notion of data ownership privacy is also enforced...
Nathalie Tsybulnik, Kevin W. Hamlen, Bhavani M. Th...
The growing use of mobile code in downloaded applications and servlets has increased interest in robust mechanisms for ensuring privacy and secrecy. Information flow control is in...
Volunteer distributed computations utilize spare processor cycles of personal computers that are connected to the Internet. The resulting platforms provide computational power pre...
Doug Szajda, Michael Pohl, Jason Owen, Barry G. La...