ARM2GC: Succinct Garbled Processor for Secure Computation
This work addresses the problem of making secure computation more accessible and efficient for developers by enabling the use of standard high-level programming languages and compilers, representing an incremental improvement over existing frameworks.
The paper tackles the challenge of developing efficient privacy-preserving applications in secure computation by introducing ARM2GC, a framework that uses Yao's Garbled Circuit protocol with the ARM processor and a SkipGate algorithm to dynamically omit communication and encryption costs for gates independent of private data, resulting in performance that outperforms current GC frameworks supporting high-level languages and achieves efficiency comparable to prior hardware description language solutions.
We present ARM2GC, a novel secure computation framework based on Yao's Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-preserving applications using standard high-level programming languages (e.g., C) and compile them using off-the-shelf ARM compilers (e.g., gcc-arm). The main enabler of this framework is the introduction of SkipGate, an algorithm that dynamically omits the communication and encryption cost of the gates whose outputs are independent of the private data. SkipGate greatly enhances the performance of ARM2GC by omitting costs of the gates associated with the instructions of the compiled binary, which is known by both parties involved in the computation. Our evaluation on benchmark functions demonstrates that ARM2GC not only outperforms the current GC frameworks that support high-level languages, it also achieves efficiency comparable to the best prior solutions based on hardware description languages. Moreover, in contrast to previous high-level frameworks with domain-specific languages and customized compilers, ARM2GC relies on standard ARM compiler which is rigorously verified and supports programs written in the standard syntax.