Ian Fette

TL;DR: This method is applicable, with slight modification, to detection of phishing websites, or the emails used to direct victims to these sites, and correctly identify over 96% of the phishing emails while only mis-classifying on the order of 0.1%" of the legitimate emails.

TL;DR: This article reports on the work on PeopleFinder, an application that enables cell phone and laptop users to selectively share their locations with others, and explores technologies that empower users to more effectively and efficiently specify their privacy preferences.

TL;DR: This work uses a novel correction algorithm and a massive database of training data to demonstrate higher accuracy on correcting real- word errors than previous work, and very high accuracy at a new task of ranking corrections to non-word errors given by a standard spelling correction package.

TL;DR: The current work in developing novel mechanisms for managing security and privacy in pervasive computing environments is described, including a contextual instant messenger, a people finder application, and a phone-based application for access control.

TL;DR: The authors suggest that an anonymous and privacy-sensitive approach to collecting sensed data in location-based applications and Expressing Privacy Policies Using Authorization Views in the 9th International Conference on Ubiquitous Computing (Workshop on Privacy).