安全多方计算的通用编译器

Marcella Hastings, B. Hemenway, D. Noble, S. Zdancewic
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引用次数: 118

摘要

安全多方计算(MPC)允许一组相互不信任的各方在其输入的基础上计算联合函数,而不泄露计算结果之外的任何信息。这种类型的计算非常强大,在学术界、工业界和政府中有着广泛的应用。用于安全计算的协议已经存在了几十年,但直到最近才开发出用于在任意函数上执行MPC的通用编译器。这些项目迅速提高了技术水平,并开始向非专业用户开放MPC。然而,该领域变化如此之快,以至于即使是专家也很难跟踪现代框架的各种功能。在这项工作中,我们概述了用于安全多方计算的通用编译器。这些工具提供高级抽象来描述任意函数和执行安全计算协议。我们考虑了11个系统:EMP-toolkit、Obliv-C、ObliVM、TinyGarble、SCALE-MAMBA(以前的SPDZ)、Wysteria、Sharemind、PICCO、ABY、Frigate和CBMC-GC。我们根据一系列标准评估这些系统,包括语言可表达性、加密后端功能和开发人员的可访问性。我们提倡改进MPC框架的文档、社区内的标准化,并对编译器开发的未来方向提出建议。安装和运行这些系统可能具有挑战性,对于每个系统,我们还提供了一个完整的虚拟环境(Docker容器),其中包含运行编译器和示例程序所需的所有依赖项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SoK: General Purpose Compilers for Secure Multi-Party Computation
Secure multi-party computation (MPC) allows a group of mutually distrustful parties to compute a joint function on their inputs without revealing any information beyond the result of the computation. This type of computation is extremely powerful and has wide-ranging applications in academia, industry, and government. Protocols for secure computation have existed for decades, but only recently have general-purpose compilers for executing MPC on arbitrary functions been developed. These projects rapidly improved the state of the art, and began to make MPC accessible to non-expert users. However, the field is changing so rapidly that it is difficult even for experts to keep track of the varied capabilities of modern frameworks. In this work, we survey general-purpose compilers for secure multi-party computation. These tools provide high-level abstractions to describe arbitrary functions and execute secure computation protocols. We consider eleven systems: EMP-toolkit, Obliv-C, ObliVM, TinyGarble, SCALE-MAMBA (formerly SPDZ), Wysteria, Sharemind, PICCO, ABY, Frigate and CBMC-GC. We evaluate these systems on a range of criteria, including language expressibility, capabilities of the cryptographic back-end, and accessibility to developers. We advocate for improved documentation of MPC frameworks, standardization within the community, and make recommendations for future directions in compiler development. Installing and running these systems can be challenging, and for each system, we also provide a complete virtual environment (Docker container) with all the necessary dependencies to run the compiler and our example programs.
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