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Lecture notes in computer science

Two-Round Maliciously Secure Computation with Super-Polynomial Simulation

Amit Agarwal, James Bartusek, Vipul Goyal, Dakshita Khurana, Giulio Malavolta

Published Jan 1, 2021• 4 citations
Publisher
DOI
10.1007/978-3-030-90459-3_22

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We initiate the study of multi-party computation for classical functionalities (in the plain model) with security against malicious polynomial-time quantum adversaries. We observe that existing techniques readily give a polynomial-round protocol, but our main result is a construction of *constant-round* post-quantum multi-party computation. We assume mildly super-polynomial quantum hardness of learning with errors (LWE), and polynomial quantum hardness of an LWE-based circular security assumption. Along the way, we develop the following cryptographic primitives that may be of independent interest: 1. A spooky encryption scheme for relations computable by quantum circuits, from the quantum hardness of an LWE-based circular security assumption. This yields the first quantum multi-key fully-homomorphic encryption scheme with classical keys. 2. Constant-round zero-knowledge secure against multiple parallel quantum verifiers from spooky encryption for relations computable by quantum circuits. To enable this, we develop a new straight-line non-black-box simulation technique against *parallel* verifiers that does not clone the adversary's state. This forms the heart of our technical contribution and may also be relevant to the classical setting. 3. A constant-round post-quantum non-malleable commitment scheme, from the mildly super-polynomial quantum hardness of LWE.
We obtain the first constant-round post-quantum multi-party computation protocol for general classical functionalities in the plain model, with security against malicious corruptions. We assume mildly super-polynomial quantum hardness of learning with errors (LWE), and quantum polynomial hardness of an LWE-based circular security assumption. Along the way, we also construct the following protocols that may be of independent interest. (1) Constant-round zero-knowledge against parallel quantum verifiers from quantum polynomial assumptions. Here, we develop a novel parallel no-cloning non-black-box simulation technique. This uses as a starting point the recently introduced no-cloning technique of Bitansky and Shmueli (STOC 2020) and Ananth and La Placa (ePrint 2019), which in turns builds on the classical non-black-box technique of Bitansky, Khurana and Paneth (STOC 2019). Our approach relies on a new technical tool, spooky encryption for relations computable by quantum circuits, that we also construct. (2) Constant-round post-quantum non-malleable commitments from mildly super-polynomial quantum hardness of LWE. This is the first construction of post-quantum non-malleable commitments in the plain model, and is obtained by transforming the construction of Khurana and Sahai (FOCS 2017) to obtain post-quantum security. We achieve quantum security by building a new straight-line non-black-box simulator against parallel verifiers that does not clone the adversary's state. This technique may also be relevant to the classical setting.
Abstract. In this paper we show that any two-party functionality can be securely computed in a constant number of rounds, where security is obtained against malicious adversaries that may arbitrarily deviate from the protocol specification. This is in contrast to Yao’s constant-round protocol that ensures security only in the face of semi-honest adversaries, and to its malicious adversary version that requires a polynomial number of rounds. In order to obtain our result, we present a constant-round protocol for secure coin-tossing of polynomially many coins (in parallel). We then show how this protocol can be used in conjunction with other existing constructions in order to obtain a constant-round protocol for securely computing any two-party functionality. On the subject of coin-tossing, we also present a constant-round perfect coin-tossing protocol, where by “perfect ” we mean that the resulting coins are guaranteed to be statistically close to uniform (and not just pseudorandom). 1