We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Abstract— Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such systems has been recognized as an important problem and many unfair rat...
Qinyuan Feng, Yafei Yang, Yan Lindsay Sun, Yafei D...
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
This paper provides initial analysis in identifying possible Web services composition using context-based semantic matching. Context-based semantic matching allows service composi...
Fashion signals are displayed to indicate access to information. Consistent, timely, and meaningful signal displays are only made possible if one is well-connected. While fashion ...