Publikationen

Autor	Büscher, Niklas; Demmler, Daniel; Katzenbeisser, Stefan; Kretzmer, David; Schneider, Thomas
Datum	2018
Art	Conference Proceedings
Abstrakt	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.
Konferenz	25. ACM Conference on Computer and Communications Security (CCS'18)
In	CCS '18: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, p.847-861
Publisher	ACM
Url	https://tubiblio.ulb.tu-darmstadt.de/id/eprint/106553

HyCC: Compilation of Hybrid Protocols for Practical Secure Computation