The paper is connected with a keynote talk David Evans will give at the Seventh International Conference on Information Systems Security (ICISS 2011) in Kolkata (previously known as Calcutta), India on 17 December 2011.

Abstract. Secure two-party computation enables applications in which participants compute the output of a function that depends on their private inputs, without revealing those inputs or relying on any trusted third party. In this paper, we show the potential of building privacy-preserving applications using garbled circuits, a generic technique that until recently was believed to be too inefficient to scale to realistic problems. We present a Java-based framework that uses pipelining and circuit-level optimizations to build efficient and scalable privacy-preserving applications. Although the standard garbled circuit protocol assumes a very week, honest-but-curious adversary, techniques are available for converting such protocols to resist stronger adversaries, including fully malicious adversaries. We summarize approaches to producing malicious-resistant secure computations that reduce the costs of transforming a protocol to be secure against stronger adversaries. In addition, we summarize results on ensuring fairness, the property that either both parties receive the result or neither party does. Several open problems remain, but as theory and pragmatism advance, secure computation is approaching the point where it offers practical solutions for a wide variety of important problems.

Full Paper: [PDF, 21 pages]

Peter Chapman presented our paper on Privacy-Preserving Applications on Smartphones at the 6th USENIX Workshop on Hot Topics in Security today. Here are the talk slides [PDF].

The CommonContacts demonstration app is now available in the Android Market.

Project Website

You can also read the paper (co-authored with David Evans, Jonathan Katz, and Lior Malka).