We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
We present a system that enables applications to discover and obtain information that describes the context of a particular entity (e.g., a user or a device). Our system revolves ...
A typical software development team leaves behind a large amount of information. This information takes different forms, such as mail messages, software releases, version control ...
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
The efficiency of promptly releasing security alerts of established analysis centers has been greatly challenged by the continuous emergence of various large scale network attack...