Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
One of the major concerns in the processes which involve human analysts is the existence of uncertainty/inconsistency. In this paper, we propose a model based on belief theory tha...
modeling, such as using epidemic models, has been the general method of choice for understanding and analyzing the high-level effects of worms. However, high-fidelity models, such...
—Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. Howev...
With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. Recently...
Ralph Gross, Latanya Sweeney, Fernando De la Torre...