\item{\bf Efficiency.} We show that anonymous channels can yield substantial efficiency improvements for several natural secure computation tasks. In particular, we present the first solution to the problem of private information retrieval (PIR) which can handle multiple users while being close to optimal with respect to {\em both} communication and computation. A key observation that underlies these results is that {\em local randomization} of inputs, via secret-sharing, when combined with the {\em global mixing} of the shares, provided by anonymity, allows to carry out useful computations on the inputs while keeping the inputs private. \end{itemize}
Category / Keywords: foundations / Publication Info: FOCS 2006 Date: received 2 Mar 2006, last revised 6 Nov 2006 Contact author: yuvali at cs technion ac il Available formats: Postscript (PS) | Compressed Postscript (PS.GZ) | PDF | BibTeX Citation Version: 20061106:140427 (All versions of this report) Discussion forum: Show discussion | Start new discussion