Fu awarded $166K in Trustworthy Computing initiative

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Prof. Xinwen Fu of Computer Science was awarded a grant entitled “Membership Inference in a Differentially Private World and Beyond” from NSF’s Trustworthy Computing program. The award is a great boost to the security program of the Computer Science Department and will strengthen its national status in related fields.

The award funds a three-year research agenda among three universities—George Washington University, Towson University, and the University of Massachusetts Lowell. The overall award totals $495K and UMass Lowell’s share is $166K.

The objective of the research project is to systematically understand, evaluate and contribute to the problem of membership inference in aggregate data publishing, which is a generic, novel, and dangerous privacy threat in a wide variety of real-world applications.

The central idea to be developed for addressing the problem of membership inference is an information-theoretic model of privacy disclosure as a noisy communication channel. Based on the channel coding theory and the recent advance in multi-input multi-output (MIMO) communication channels, the research will study novel techniques for membership inference and explores the corresponding privacy-preserving mechanisms.

The outcome of this research has broader impacts on the nation’s higher education system and high-tech industries. The prospect of sensitive membership information disclosure techniques and privacy-preserving techniques can help the providers of aggregated data publishing, including national health organizations, Internet security service providers, and others to secure their published data.

Prof. Fu is a member of the Computer Science department’s Center for Network and Information Security (CNIS). His research focuses on network security and privacy, network and computer forensics, and distributed systems.

XinwenFu.jpg
Prof. Xinwen Fu (Computer Science)

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This page contains a single entry by Martin, Fred published on September 8, 2011 6:37 PM.

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