Evaluating novel networked protocols and services requires subjecting the target system to realistic Internet conditions. However, there is no common understanding of what is requ...
Machine learning has become a valuable tool for detecting and preventing malicious activity. However, as more applications employ machine learning techniques in adversarial decisi...
Marco Barreno, Peter L. Bartlett, Fuching Jack Chi...
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Henry Jenkins’ recent publications on convergence have focused on the way that the active audience, equipped with the productive and distributive tools of digital technology mig...
The last decade has seen an explosion in blogging and the blogosphere is continuing to grow, having a large global reach and many vibrant communities. Researchers have been pouring...