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Researchers Earn NSF Grant for Practical Secure Two-Party Computation

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Researchers Earn NSF Grant for Practical Secure Two-Party Computation

Professor Jonathan Katz and Professor Mike Hicks are co-principal investigators (co-PIs) on a recently awarded National Science Foundation (NSF) grant, titled "Practical Secure Two-Party Computation: Techniques, Tools, and Applications." 


The five-year project, which will represent a collaborative effort with researchers at the University of Virginia and Indiana University, seeks to make privacy-preserving computation practical and accessible enough to be used routinely in applications such as personalized genetics, medical research, and privacy-preserving biometrics. 


One portion of the research will be focused on developing a framework and library for building efficient and scalable privacy-preserving applications using garbled circuits. A second portion of the research will make use of the fast garbled circuits framework to enable privacy-preserving applications on smartphones.

More information can be found at www.securecomputation.org. Additional information can also be found on the NSF website.  

August 30, 2011


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