On the Power of Secure Two-Party Computation

Abstract

Ishai, Kushilevitz, Ostrovsky and Sahai (STOC 2007; SIAM J Comput 39(3):1121–1152, 2009) introduced the powerful “MPC-in-the-head” technique that provided a general transformation of information-theoretic MPC protocols secure against passive adversaries to a ZK proof in a “black-box” way. In this work, we extend this technique and provide a generic transformation of any semi-honest secure two-party computation (2PC) protocol (with mild adaptive security guarantees) in the so-called oblivious-transfer hybrid model to an adaptive ZK proof for any \(\textsf {NP}\) language, in a “black-box” way assuming only one-way functions. Our basic construction based on Goldreich–Micali–Wigderson’s 2PC protocol yields an adaptive ZK proof with communication complexity proportional to quadratic in the size of the circuit implementing the \(\textsf {NP}\) relation. Previously such proofs relied on an expensive Karp reduction of the \(\textsf {NP}\) language to Graph Hamiltonicity [Lindell and Zarosim (TCC 2009; J Cryptol 24(4):761–799, 2011)]. As an application of our techniques, we show how to obtain a ZK proof with an “input-delayed” property for any \(\textsf {NP}\) language without relying on expensive Karp reductions that is black box in the underlying one-way function. Namely, the input-delayed property allows the honest prover’s algorithm to receive the actual statement to be proved only in the final round. We further generalize this to obtain a “commit-and-prove” protocol with the same property where the prover commits to a witness w in the second message and proves a statement x regarding the witness w in zero-knowledge where the statement is determined only in the last round. This improves a previous construction of Lapidot and Shamir (Crypto 1990) that was designed specifically for the Graph Hamiltonicity problem and relied on the underlying primitives in a non-black-box way. Additionally, we provide a general transformation to construct a randomized encoding of a function f from any 2PC protocol that securely computes a related functionality (in a black-box way) from one-way functions. We show that if the 2PC protocol has mild adaptive security guarantees (which are satisfied by both the Yao’s and GMW’s protocol), then the resulting randomized encoding can be decomposed to an offline/online encoding.

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Notes

  1. 1.

    Namely, against computationally unbounded adversaries.

  2. 2.

    If one is willing to provide ideal access to an oblivious-transfer functionality, then one can achieve information-theoretic security even in the honest minority setting [24, 40, 54].

  3. 3.

    The functionality f can be efficiently defined by making only a black-box (oracle) access to the \(\textsf {NP}\) relation \(\mathcal{R}\). This notion is formalized as an “oracle call” to a protocol in [52].

  4. 4.

    Where all parties have access to an idealized primitive that implements the OT functionality, namely, the functionality upon receiving input \((s_0,s_1)\) from the sender and a bit b from the receiver, returns \(s_b\) to the receiver and nothing the sender.

  5. 5.

    To obtain a proof, we will be able to instantiate our commitment schemes using a statistically binding commitment scheme [64] for commitments made by the prover in the ZK protocol, and by a statistically hiding commitment scheme for commitments made by the verifier. Both these schemes can be instantiated from one-way functions [47, 64].

  6. 6.

    By “black-box” use of a protocol, we mean that the next-message function of the resulting protocol uses the next-message function of the underlying protocol as an oracle. However, it could be the case that the underlying protocol might depend on the implemented functionality in a non-black-box manner. This notion is formalized and explored in [52].

  7. 7.

    The security notion in which one party is statically corrupted, whereas the second party is adaptively corrupted is known by semi-adaptive security [43].

  8. 8.

    Note that in Naor’s statistically binding commitment scheme [64] the decommitment information is the inverse under a pseudorandom generator that is uniformly sampled, and hence can be placed in the random tape.

  9. 9.

    We note that the online complexity can be improved by relying on the work of [6].

  10. 10.

    This notion has been considered in the past in the context of oblivious public-key encryption schemes requiring the ability to sample a public-key without knowing the secret key or sampling a ciphertext without the knowledge of the plaintext [27], and to switch from a real to an oblivious object.

  11. 11.

    Note that the notion of decomposability is similar to the notion of projective garbled schemes specified in [12].

  12. 12.

    More formally, let \(\mathrm {F}:\{0,1\}^\kappa \times \{0,1\}^\kappa \mapsto \{0,1\}^\kappa \) denote a PRF function. Then encrypting a message \(m\in \{0,1\}^\kappa \) is carried out by sampling a random \(r\leftarrow \{0,1\}^\kappa \) and returning \((\mathrm {F}_k(r)\oplus m, r)\). Furthermore, obliviously sampling a ciphertext is achieved by sampling two \(\kappa \)-bits strings. By the pseudorandomness of \(\mathrm {F}\), an obliviously generated ciphertext is indistinguishable from a real one.

  13. 13.

    However, with our modification, indirectly the encrypted values of the sender’s real inputs are in the transcript.

  14. 14.

    M will be chosen to be proportional to the width of the circuit implementing the function f.

  15. 15.

    We have not optimized the parameters as our focus is to demonstrate theoretical feasibility of such protocols.

  16. 16.

    More explicitly, we assume that the common statement x is embedded inside the circuit and only \(\omega \) is given as its input.

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Correspondence to Carmit Hazay.

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Carmit Hazay: Research was partially supported by the European Research Council under the ERC consolidators Grant Agreement No. 615172 (HIPS), and by the BIU Center for Research in Applied Cryptography and Cyber Security in conjunction with the Israel National Cyber Bureau in the Prime Minister’s Office. Research partially supported by a grant from the Israel Ministry of Science and Technology (Grant No. 3-10883). Muthuramakrishnan Venkitasubramaniam: Research supported by Google Faculty Research Grant and NSF Award CNS-1526377.

Communicated by Nigel Smart.

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Hazay, C., Venkitasubramaniam, M. On the Power of Secure Two-Party Computation. J Cryptol 33, 271–318 (2020). https://doi.org/10.1007/s00145-019-09314-2

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Keywords

  • Adaptive zero-knowledge proofs
  • Secure two-party computation
  • Randomized encoding
  • Instance-dependent commitments