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Ian Fette
Researcher at Carnegie Mellon University
Publications - 7
Citations - 1254
Ian Fette is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Information privacy & Mobile computing. The author has an hindex of 6, co-authored 7 publications receiving 1183 citations.
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Proceedings ArticleDOI
Learning to detect phishing emails
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.
Journal ArticleDOI
Understanding and capturing people's privacy policies in a mobile social networking application
Norman Sadeh,Jason Hong,Lorrie Faith Cranor,Ian Fette,Patrick Gage Kelley,Madhu Prabaker,Jinghai Rao +6 more
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.
Proceedings ArticleDOI
Memory-based context-sensitive spelling correction at web scale
Andrew Carlson,Ian Fette +1 more
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.
Proceedings ArticleDOI
User-Controllable Security and Privacy for Pervasive Computing
Jason Cornwell,Ian Fette,Gary Hsieh,Madhu Prabaker,Jinghai Rao,Karen P. Tang,Kami Vaniea,Lujo Bauer,Lorrie Faith Cranor,Jason Hong,Bruce M. McLaren,Michael K. Reiter,Norman Sadeh +12 more
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.
Understanding and Capturing People’s Privacy Policies in a People Finder Application
Norman Sadeh,Jason Hong,Lorrie Faith Cranor,Ian Fette,Patrick Gage Kelley,Madhu Prabaker,Jinghai Rao +6 more
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).