| Author | Büscher, Niklas; Demmler, Daniel; Katzenbeisser, Stefan; Kretzmer, David; Schneider, Thomas |
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| Date | 2018 |
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| Type | Conference Proceedings |
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| Abstract | While secure multi-party computation (MPC) is a vibrant research topic and a multitude of practical MPC applications have been presented recently, their development is still a tedious task that requires expert knowledge. Previous works have made first steps in compiling high-level descriptions from various source descriptions into MPC protocols, but only looked at a limited set of protocols. In this work we present HyCC, a tool-chain for automated compilation of ANSI C programs into hybrid protocols that efficiently and securely combine multiple MPC protocols with optimizing compilation, scheduling, and partitioning. As a result, our compiled protocols are able to achieve performance numbers that are comparable to hand-built solutions. For the MiniONN neural network (Liu et al., CCS 2017), our compiler improves performance of the resulting protocol by more than a factor of $3$. Thus, for the first time, highly efficient hybrid MPC becomes accessible for developers without cryptographic background. |
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| Conference | 25. ACM Conference on Computer and Communications Security (CCS'18) |
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| In | CCS '18: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, p.847-861 |
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| Publisher | ACM |
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| Url | https://tubiblio.ulb.tu-darmstadt.de/id/eprint/106553 |
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