NANOPI: Extreme-Scale Actively-Secure Multi-Party Computation
Ruiyu Zhu, Darion Cassel, Amr Sabry, Yan Huang
摘要
Existing actively-secure MPC protocols require either linear rounds or linear space. Due to this fundamental space-round dilemma, no existing MPC protocols is able to run large-scale computations without significantly sacrificing performance. To mitigate this issue, we developed nanoPI, which is practically efficient in terms of both time and space. Our protocol is based on WRK [44, 45] but introduces interesting and necessary modifications to address several important programmatic and cryptographic challenges. A technique that may be of independent interest (in transforming other computation-oriented cryptographic protocols) is a staged execution model, which we formally define and realize using a combination of lightweight static and dynamic program instrumentation. We demonstrate the unprecedented scalability and performance of nanoPI by building and running a suit of benchmark applications, including an actively-secure four-party logistical regression (involving 4.7 billion ANDs and 8.9 billion XORs) which finished in less than 28 hours on four small-memory machines. Our integrated framework nanoPI is open-sourced at https: //github.com/nanoPIMPC/nanoPI .
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引用它的顶会 Paper3
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- More Efficient MPC from Improved Triple Generation and Authenticated GarblingKang Yang, Xiao Wang, Jiang ZhangCCS 2020 · 被引用 5 次
- Osprey: Transparent and Efficient Virtual Memory for Secure ComputationYicheng Liu, Alice Yeh, Harry Xu, Raluca Ada Popa 等OSDI 2026
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