Practical Constructions for Single Input Functionality against a Dishonest Majority

Single Input Functionality (SIF) is a special case of MPC, where only one distinguished party called dealer holds the secret input. SIF allows the dealer to complete a computation task and send to other parties their respective outputs without revealing any additional information about its secret input. SIF has many applications, including multiple-verifier zero-knowledge and verifiable relation sharing, etc. Recently, several works devote to round-efficient realization of SIF, and achieve 2-round communication in the honest majority setting (Applebaum et al., Crypto 2022; Baum et al., CCS 2022; Yang and Wang, Asiacrypt 2022). In this work, we propose the first practical 2-round protocol for SIF against \emph{a dishonest majority} in the preprocessing model; moreover, the online phase is highly efficient as it requires no cryptographic operations and achieves information theoretical security. For SIF among 5 parties, our construction takes 152.34ms (total) to evaluate an AES-128 circuit with 7.36ms online time. Compared to the state-of-the-art (honest majority) solution (Baum et al., CCS 2022), our construction is roughly 2$\times$ faster in the online phase, although more preprocessing time is needed. Compared to the state-of-the-art generic MPC against a dishonest majority (Wang et al., CCS 2017; Cramer et al., Crypto 2018), our construction outperforms them w.r.t. both total running time and online running time

Single-Input Functionality against a Dishonest Majority: Practical and Round-Optimal

In this work, we focus on Single-Input Functionality (SIF), which can be viewed as a special case of MPC. In a SIF, only one distinguished party called the dealer holds a private input. SIF allows the dealer to perform a computation task with other parties without revealing any additional information about the private input. SIF has diverse applications, including multiple-verifier zero-knowledge, and verifiable relation sharing. As our main contribution, we propose the first 1-round SIF protocol against a dishonest majority in the preprocessing model, which is highly efficient. The only prior work that achieves 1-round online communication assumes an honest majority and is only a feasibility result (Applebaum et al., Crypto 2022). We implement our protocols and conduct extensive experiments to illustrate the practical efficiency of our protocols. As our side product, we extend the subfield Vector Oblivious Linear Evaluation (sVOLE) into the multi-party setting, and propose a new primitive called multi-verifier sVOLE, which may be of independent interest

Feta: Efficient Threshold Designated-Verifier Zero-Knowledge Proofs

Zero-Knowledge protocols have increasingly become both popular and practical in recent years due to their applicability in many areas such as blockchain systems. Unfortunately, public verifiability and small proof sizes of zero-knowledge protocols currently come at the price of strong assumptions, large prover time, or both, when considering statements with millions of gates. In this regime, the most prover-efficient protocols are in the designated verifier setting, where proofs are only valid to a single party that must keep a secret state. In this work, we bridge this gap between designated-verifier proofs and public verifiability by distributing the verifier. Here, a set of verifiers can then verify a proof and, if a given threshold $t$ of the $n$ verifiers is honest and trusted, can act as guarantors for the validity of a statement. We achieve this while keeping the concrete efficiency of current designated-verifier proofs, and present constructions that have small concrete computation and communication cost. We present practical protocols in the setting of threshold verifiers with $t<n/4$ and $t<n/3$, for which we give performance figures, showcasing the efficiency of our approach

Crowd Verifiable Zero-Knowledge and End-to-end Verifiable Multiparty Computation

Auditing a secure multiparty computation (MPC) protocol entails the validation of the protocol transcript by a third party that is otherwise untrusted. In this work, we introduce the concept of end-to-end verifiable MPC (VMPC), that requires the validation to provide a correctness guarantee even in the setting that all servers, trusted setup primitives and all the client systems utilized by the input-providing users of the MPC protocol are subverted by an adversary. To instantiate VMPC, we introduce a new concept in the setting of zero-knowlegde protocols that we term crowd verifiable zero-knowledge (CVZK). A CVZK protocol enables a prover to convince a set of verifiers about a certain statement, even though each one individually contributes a small amount of entropy for verification and some of them are adversarially controlled. Given CVZK, we present a VMPC protocol that is based on discrete-logarithm related assumptions. At the high level of adversity that VMPC is meant to withstand, it is infeasible to ensure perfect correctness, thus we investigate the classes of functions and verifiability relations that are feasible in our framework, and present a number of possible applications the underlying functions of which can be implemented via VMPC

Steganography-Free Zero-Knowledge

We revisit the well-studied problem of preventing steganographic communication in multi-party communications. While this is known to be a provably impossible task, we propose a new model that allows circumventing this impossibility. In our model, the parties first publish a single message during an honest non-interactive pre-processing phase and then later interact in an execution phase. We show that in this model, it is indeed possible to prevent any steganographic communication in zero-knowledge protocols. Our solutions rely on standard cryptographic assumptions

Non-Interactive Zero-Knowledge Proofs to Multiple Verifiers

In this paper, we study zero-knowledge (ZK) proofs for circuit satisfiability that can prove to $n$ verifiers at a time efficiently. The proofs are secure against the collusion of a prover and a subset of $t$ verifiers. We refer to such ZK proofs as multi-verifier zero-knowledge (MVZK) proofs and focus on the case that a majority of verifiers are honest (i.e., $t<n/2$). We construct efficient MVZK protocols in the random oracle model where the prover sends one message to each verifier, while the verifiers only exchange one round of messages. When the threshold of corrupted verifiers $t<n/2$, the prover sends $1/2+o(1)$ field elements per multiplication gate to every verifier; when $t<n(1/2-\epsilon)$ for some constant $0<\epsilon<1/2$, we can further reduce the communication to $O(1/n)$ field elements per multiplication gate per verifier. Our MVZK protocols demonstrate particularly high scalability: the proofs are streamable and only require a memory proportional to what is needed to evaluate the circuit in the clear

Your Reputation\u27s Safe with Me: Framing-Free Distributed Zero-Knowledge Proofs

Distributed Zero-Knowledge (dZK) proofs, recently introduced by Boneh et al. (CYPTO`19), allow a prover $P$ to prove NP statements on an input $x$ which is distributed between $k$ verifiers $V_1,\ldots,V_k$, where each $V_i$ holds only a piece of $x$. As in standard ZK proofs, dZK proofs guarantee Completeness when all parties are honest; Soundness against a malicious prover colluding with $t$ verifiers; and Zero Knowledge against a subset of $t$ malicious verifiers, in the sense that they learn nothing about the NP witness and the input pieces of the honest verifiers. Unfortunately, dZK proofs provide no correctness guarantee for an honest prover against a subset of maliciously corrupted verifiers. In particular, such verifiers might be able to ``frame\u27\u27 the prover, causing honest verifiers to reject a true claim. This is a significant limitation, since such scenarios arise naturally in dZK applications, e.g., for proving honest behavior, and such attacks are indeed possible in existing dZKs. We put forth and study the notion of strong completeness for dZKs, guaranteeing that true claims are accepted even when $t$ verifiers are maliciously corrupted. We then design strongly-complete dZK proofs using the ``MPC-in-the-head\u27\u27 paradigm of Ishai et al. (STOC`07), providing a novel analysis that exploits the unique properties of the distributed setting. To demonstrate the usefulness of strong completeness, we present several applications in which it is instrumental in obtaining security. First, we construct a certifiable version of Verifiable Secret Sharing (VSS), which is a VSS in which the dealer additionally proves that the shared secret satisfies a given NP relation. Our construction withstands a constant fraction of corruptions, whereas a previous construction of Ishat et al. (TCC`14) could only handle $k^{\varepsilon}$ corruptions for a small $\varepsilon<1$. We also design a reusable version of certifiable VSS that we introduce, in which the dealer can prove an unlimited number of predicates on the same shared secret. Finally, we extend a compiler of Boneh et al. (CRYPTO`19), who used dZKs to transform a class of ``natural\u27\u27 semi-honest protocols in the honest-majority setting into maliciously secure ones with abort. Our compiler uses strongly-complete dZKs to obtain identifiable abort

Verifiable Relation Sharing and Multi-Verifier Zero-Knowledge in Two Rounds: Trading NIZKs with Honest Majority

We introduce the problem of Verifiable Relation Sharing (VRS) where a client (prover) wishes to share a vector of secret data items among $k$ servers (the verifiers) while proving in zero-knowledge that the shared data satisfies some properties. This combined task of sharing and proving generalizes notions like verifiable secret sharing and zero-knowledge proofs over secret-shared data. We study VRS from a theoretical perspective and focus on its round complexity. As our main contribution, we show that every efficiently-computable relation can be realized by a VRS with an optimal round complexity of two rounds where the first round is input-independent (offline round). The protocol achieves full UC-security against an active adversary that is allowed to corrupt any $t$-subset of the parties that may include the client together with some of the verifiers. For a small (logarithmic) number of parties, we achieve an optimal resiliency threshold of $t0$. Both protocols can be based on sub-exponentially hard injective one-way functions. If the parties have an access to a collision resistance hash function, we can derive statistical everlasting security, i.e., the protocols are secure against adversaries that are computationally bounded during the protocol execution and become computationally unbounded after the protocol execution. Previous 2-round solutions achieve smaller resiliency thresholds and weaker security notions regardless of the underlying assumptions. As a special case, our protocols give rise to 2-round offline/online constructions of multi-verifier zero-knowledge proofs (MVZK). Such constructions were previously obtained under the same type of assumptions that are needed for NIZK, i.e., public-key assumptions or random-oracle type assumptions (Abe et al., Asiacrypt 2002; Groth and Ostrovsky, Crypto 2007; Boneh et al., Crypto 2019; Yang, and Wang, Eprint 2022). Our work shows, for the first time, that in the presence of an honest majority these assumptions can be replaced with more conservative ``Minicrypt\u27\u27-type assumptions like injective one-way functions and collision-resistance hash functions. Indeed, our MVZK protocols provide a round-efficient substitute for NIZK in settings where an honest majority is present. Additional applications are also presented

The Round Complexity of Statistical MPC with Optimal Resiliency

In STOC 1989, Rabin and Ben-Or (RB) established an important milestone in the fields of cryptography and distributed computing by showing that every functionality can be computed with statistical (information-theoretic) security in the presence of an active (aka Byzantine) rushing adversary that controls up to half of the parties. We study the round complexity of general secure multiparty computation and several related tasks in the RB model. Our main result shows that every functionality can be realized in only four rounds of interaction which is known to be optimal. This completely settles the round complexity of statistical actively-secure optimally-resilient MPC, resolving a long line of research. Along the way, we construct the first round-optimal statistically-secure verifiable secret sharing protocol (Chor, Goldwasser, Micali, and Awerbuch; STOC 1985), show that every single-input functionality (e.g., multi-verifier zero-knowledge) can be realized in 3 rounds, and prove that the latter bound is optimal. The complexity of all our protocols is exponential in the number of parties, and the question of deriving polynomially-efficient protocols is left for future research. Our main technical contribution is a construction of a new type of statistically-secure signature scheme whose existence was open even for smaller resiliency thresholds. We also describe a new statistical compiler that lifts up passively-secure protocols to actively-secure protocols in a round-efficient way via the aid of protocols for single-input functionalities. This compiler can be viewed as a statistical variant of the GMW compiler (Goldreich, Micali, Wigderson; STOC, 1987) that originally employed zero-knowledge proofs and public-key encryption