Detect, Pack and Batch: Perfectly-Secure MPC with Linear Communication and Constant Expected Time
Ittai Abraham, Gilad Asharov, Shravani Patil, Arpita Patra
Abstract
We prove that perfectly-secure optimally-resilient secure Multi-Party Computation (MPC) for a circuit with gates and depth can be obtained in communication complexity and expected time. For and , this is the first perfectly-secure optimal-resilient MPC protocol with linear communication complexity per gate and constant expected time complexity per layer.
Compared to state-of-the-art MPC protocols in the player elimination framework [Beerliova and Hirt TCC'08, and Goyal, Liu, and Song CRYPTO'19], for and , our results significantly improve the run time from to expected while keeping communication complexity at .
Compared to state-of-the-art MPC protocols that obtain an expected time complexity [Abraham, Asharov, and Yanai TCC'21], for , our results significantly improve the communication complexity from to while keeping the expected run time at .
One salient part of our technical contribution is centered around a new primitive we call "detectable secret sharing". It is perfectly-hiding, weakly-binding, and has the property that either reconstruction succeeds or parties are (privately) detected. On the one hand, we show that detectable secret sharing is sufficiently powerful to generate multiplication triplets needed for MPC. On the other hand, we show how to share secrets via detectable secret sharing with communication complexity of just . When sharing secrets, the communication cost is amortized to just field elements per secret.
Our second technical contribution is a new Verifiable Secret Sharing protocol that can share secrets at just word complexity. When sharing secrets, the communication cost is amortized to just filed elements per secret. The best prior required communication per secret.
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- Sublinear Distributed Product Checks on Replicated Secret-Shared Data over Z2k Without Ring ExtensionsYun Li, Daniel Escudero, Yufei Duan, Zhicong Huang et al.CCS 2024 · 1 citation
- HydraProofs: Optimally Computing All Proofs in a Vector Commitment (With Applications to Efficient zkSNARKs Over Data from Multiple Users)Christodoulos Pappas, Dimitrios Papadopoulos, Charalampos PapamanthouS&P 2025
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