A component revolution is underway, bringing developers improved productivity and opportunities for code reuse. However, whereas existing tools work well for builders of desktop ap...
Krzysztof Ostrowski, Ken Birman, Danny Dolev, Jong...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
This paper addresses two important challenges for current P2P systems, namely churn and selfishness. First, we report on a system [19] whose desirable properties (small peer degre...
Stefan Schmid, Fabian Kuhn, Thomas Moscibroda, Rog...
Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
A major challenge when attempting to analyze and model large-scale Internet phenomena such as the dynamics of global worm propagation is finding ate abstractions that allow us to ...
Nicholas Weaver, Ihab Hamadeh, George Kesidis, Ver...