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Security and Cryptography for Networks

Volume 8642 of the series Lecture Notes in Computer Science pp 358-379

Faster Maliciously Secure Two-Party Computation Using the GPU

  • Tore Kasper FrederiksenAffiliated withDepartment of Computer Science, Aarhus University
  • , Thomas P. JakobsenAffiliated withDepartment of Computer Science, Aarhus University
  • , Jesper Buus NielsenAffiliated withDepartment of Computer Science, Aarhus University

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Abstract

We present a new protocol for maliciously secure two-party computation based on cut-and-choose of garbled circuits using the recent idea of “forge-and-loose”, which eliminates around a factor 3 of garbled circuits that needs to be constructed and evaluated. Our protocol introduces a new way to realize the “forge-and-loose” approach, which avoids an auxiliary secure two-party computation protocol, does not rely on any number theoretic assumptions and parallelizes well in a same instruction, multiple data (SIMD) framework.

With this approach we prove our protocol universally composable-secure against a malicious adversary assuming access to oblivious transfer, commitment and coin-tossing functionalities in the random oracle model.

Finally, we construct, and benchmark, a SIMD implementation of this protocol using a GPU as a massive SIMD device. The findings compare favorably with all previous implementations of maliciously secure, two-party computation.