—The Web 2.0 era is characterized by the emergence of a very large amount of live content. A real time and finegrained content filtering approach can precisely keep users upto-...
Weixiong Rao, Lei Chen 0002, Pan Hui, Sasu Tarkoma
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
A set of presentations covering the book, which includes the following topics ER Model and Conceptual Design, The Relational Model and SQL DDL, Relational Algebra, SQL, Database Ap...
The ground truth labeling of an image dataset is a task that often requires a large amount of human time and labor. We present an infrastructure for distributed human labeling tha...
A profiling adversary is an adversary whose goal is to classify a population of users into categories according to messages they exchange. This adversary models the most common pr...
Aleksandra Korolova, Ayman Farahat, Philippe Golle