Delegating RAM Computations with Adaptive Soundness and Privacy

We consider the problem of delegating RAM computations over persistent databases. A user wishes to delegate a sequence of computations over a database to a server, where each computation may read and modify the database and the modifications persist between computations. Delegating RAM computations is important as it has the distinct feature that the run-time of computations maybe sub-linear in the size of the database. We present the first RAM delegation scheme that provide both soundness and privacy guarantees in the adaptive setting, where the sequence of delegated RAM programs are chosen adaptively, depending potentially on the encodings of the database and previously chosen programs. Prior works either achieved only adaptive soundness without privacy [Kalai and Paneth, ePrint\u2715], or only security in the selective setting where all RAM programs are chosen statically [Chen et al. ITCS\u2716, Canetti and Holmgren ITCS\u2716]. Our scheme assumes the existence of indistinguishability obfuscation (\iO) for circuits and the decisional Diffie-Hellman (DDH) assumption. However, our techniques are quite general and in particular, might be applicable even in settings where iO is not used. We provide a security lifting technique that lifts any proof of selective security satisfying certain special properties into a proof of adaptive security, for arbitrary cryptographic schemes. We then apply this technique to the delegation scheme of Chen et al. and its selective security proof, obtaining that their scheme is essentially already adaptively secure. Because of the general approach, we can also easily extend to delegating parallel RAM (PRAM) computations. We believe that the security lifting technique can potentially find other applications and is of independent interest

Hash First, Argue Later: Adaptive Verifiable Computations on Outsourced Data

Proof systems for verifiable computation (VC) have the potential to make cloud outsourcing more trustworthy. Recent schemes enable a verifier with limited resources to delegate large computations and verify their outcome based on succinct arguments: verification complexity is linear in the size of the inputs and outputs (not the size of the computation). However, cloud computing also often involves large amounts of data, which may exceed the local storage and I/O capabilities of the verifier, and thus limit the use of VC. In this paper, we investigate multi-relation hash & prove schemes for verifiable computations that operate on succinct data hashes. Hence, the verifier delegates both storage and computation to an untrusted worker. She uploads data and keeps hashes; exchanges hashes with other parties; verifies arguments that consume and produce hashes; and selectively downloads the actual data she needs to access. Existing instantiations that fit our definition either target restricted classes of computations or employ relatively inefficient techniques. Instead, we propose efficient constructions that lift classes of existing arguments schemes for fixed relations to multi-relation hash & prove schemes. Our schemes (1) rely on hash algorithms that run linearly in the size of the input; (2) enable constant-time verification of arguments on hashed inputs; (3) incur minimal overhead for the prover. Their main benefit is to amortize the linear cost for the verifier across all relations with shared I/O. Concretely, compared to solutions that can be obtained from prior work, our new hash & prove constructions yield a 1,400x speed-up for provers. We also explain how to further reduce the linear verification costs by partially outsourcing the hash computation itself, obtaining a 480x speed-up when applied to existing VC schemes, even on single-relation executions

3-Message Zero Knowledge Against Human Ignorance

The notion of Zero Knowledge has driven the field of cryptography since its conception over thirty years ago. It is well established that two-message zero-knowledge protocols for NP do not exist, and that four-message zero-knowledge arguments exist under the minimal assumption of one-way functions. Resolving the precise round complexity of zero-knowledge has been an outstanding open problem for far too long. In this work, we present a three-message zero-knowledge argument system with soundness against uniform polynomial-time cheating provers. The main component in our construction is the recent delegation protocol for RAM computations (Kalai and Paneth, TCC 2016B and Brakerski, Holmgren and Kalai, ePrint 2016). Concretely, we rely on a three-message variant of their protocol based on a key-less collision-resistant hash functions secure against uniform adversaries as well as other standard primitives. More generally, beyond uniform provers, our protocol provides a natural and meaningful security guarantee against real-world adversaries, which we formalize following Rogaway’s “human-ignorance” approach (VIETCRYPT 2006): in a nutshell, we give an explicit uniform reduction from any adversary breaking the soundness of our protocol to finding collisions in the underlying hash function.National Science Foundation (U.S.) (Award CNS-1350619)National Science Foundation (U.S.) (Award CNS-1413964

Non-Interactive Delegation for Low-Space Non-Deterministic Computation

We construct a delegation scheme for verifying non-deterministic computations, with complexity proportional only to the non-deterministic space of the computation. Specifically, letting $n$ denote the input length, we construct a delegation scheme for any language verifiable in non-deterministic time and space $(T (n); S(n))$ with communication complexity $poly(S(n))$, verifier runtime $n polylog(T (n)) + poly(S(n))$, and prover runtime $poly(T (n))$. Our scheme consists of only two messages and has adaptive soundness, assuming the existence of a sub-exponentially secure private information retrieval (PIR) scheme, which can be instantiated under standard (albeit, sub-exponential) cryptographic assumptions, such as the sub-exponential LWE assumption. Specifically, the verifier publishes a (short) public key ahead of time, and this key can be used by any prover to non-interactively prove the correctness of any adaptively chosen non-deterministic computation. Such a scheme is referred to as a noninteractive delegation scheme. Our scheme is privately verifiable, where the verifier needs the corresponding secret key in order to verify proofs. Prior to our work, such results were known only in the Random Oracle Model, or under knowledge assumptions. Our results yield succinct non-interactive arguments based on subexponential LWE, for many natural languages believed to be outside of P

Non-Interactive Proofs: What Assumptions Are Sufficient?

A non-Interactive proof system allows a prover to convince a verifier that a statement is true by sending a single round of messages. In this thesis, we study under what assumptions can we build non-interactive proof systems with succinct verification and zero-knowledge. We obtain the following results. - Succinct Arguments: We construct the first non-interactive succinct arguments (SNARGs) for P from standard assumptions. Our construction is based on the polynomial hardness of Learning with Errors (LWE). - Zero-Knowledge: We build the first non-interactive zero-knowledge proof systems (NIZKs) for NP from sub-exponential Decisional Diffie-Hellman (DDH) assumption in the standard groups, without use of groups with pairings. To obtain our results, we build SNARGs for batch-NP from LWE and correlation intractable hash functions for TC^0 from sub-exponential DDH assumption, respectively, which may be of independent interest

Delegating RAM Computations

In the setting of cloud computing a user wishes to delegate its data, as well as computations over this data, to a cloud provider. Each computation may read and modify the data, and these modifications should persist between computations. Minding the computational resources of the cloud, delegated computations are modeled as RAM programs. In particular, the delegated computations\u27 running time may be sub-linear, or even exponentially smaller than the memory size. We construct a two-message protocol for delegating RAM computations to an untrusted cloud. In our protocol, the user saves a short digest of the delegated data. For every delegated computation, the cloud returns, in addition to the computation\u27s output, the digest of the modified data, and a proof that the output and digest were computed correctly. When delegating a T-time RAM computation M with security parameter k, the cloud runs in time Poly(T,k) and the user in time Poly(|M|, log T, k). Our protocol is secure assuming super-polynomial hardness of the Learning with Error (LWE) assumption. Security holds even when the delegated computations are chosen adaptively as a function of the data and output of previous computations. We note that RAM delegation schemes are an improved variant of memory delegation schemes [Chung et al. CRYPTO 2011]. In memory delegation, computations are modeled as Turing machines, and therefore, the cloud\u27s work always grows with the size of the delegated data

How to Delegate Computations Publicly

We construct a delegation scheme for all polynomial time computations. Our scheme is publicly verifiable and completely non-interactive in the common reference string (CRS) model. Our scheme is based on an efficiently falsifiable decisional assumption on groups with bilinear maps. Prior to this work, publicly verifiable non-interactive delegation schemes were only known under knowledge assumptions (or in the Random Oracle model) or under non-standard assumptions related to obfuscation or multilinear maps. We obtain our result in two steps. First, we construct a scheme with a long CRS (polynomial in the running time of the computation) by following the blueprint of Paneth and Rothblum (TCC 2017). Then we bootstrap this scheme to obtain a short CRS. Our bootstrapping theorem exploits the fact that our scheme can securely delegate certain non-deterministic computations

SNARGs for Bounded Depth Computations from Sub-Exponential LWE

We construct a succinct non-interactive publicly-verifiable delegation scheme for any log-space uniform circuit under the sub-exponential $\mathsf{LWE}$ assumption, a standard assumption that is believed to be post-quantum secure. For a circuit of size $S$ and depth $D$, the prover runs in time poly$(S)$, and the verifier runs in time $(D + n) \cdot S^{o(1)}$, where $n$ is the input size. We obtain this result by slightly modifying the $\mathsf{GKR}$ protocol and proving that the Fiat-Shamir heuristic is sound when applied to this modified protocol. We build on the recent works of Canetti et al. (STOC 2019) and Peikert and Shiehian (Crypto 2020), which prove the soundness of the Fiat-Shamir heuristic when applied to a specific (non-succinct) zero-knowledge protocol. As a corollary, by the work of Choudhuri et al. (STOC 2019), this implies that the complexity class $\mathsf{PPAD}$ is hard (on average) under the sub-exponential $\mathsf{LWE}$ assumption, assuming that $\mathsf{\#SAT}$ with $o(\log n \cdot \log\log n)$ variables is hard (on average)

Non-Interactive RAM and Batch NP Delegation from any PIR

We present an adaptive and non-interactive protocol for verifying arbitrary efficient computations in fixed polynomial time. Our protocol is computationally sound and can be based on any computational PIR scheme, which in turn can be based on standard polynomial-time cryptographic assumptions (e.g. the worst case hardness of polynomial-factor approximation of short-vector lattice problems). In our protocol, the prover and the verifier do not need to interact at all: The verifier sets up a public key ahead of time, and this key can be used by any prover to prove arbitrary statements in a completely adaptive manner. Verification is done using a secret verification key, and soundness relies on this key not being known to the prover. Our protocol further allows to prove statements about computations of arbitrary RAM machines. Previous works either relied on knowledge assumptions, or could only offer non-adaptive two-message protocols (where the first message could not be re-used), and required either obfuscation-based assumptions or super-polynomial hardness assumptions. We show that our techniques can also be applied to construct a new type of (non-adaptive) 2-message delegation protocols for batch NP statements. Specifically, we can simultaneously prove the membership of multiple instances in a given NP language, with communication complexity proportional to the length of a single witness

On Publicly Verifiable Delegation From Standard Assumptions

We construct a publicly verifiable non-interactive delegation scheme for log-space uniform bounded depth computations in the common reference string (CRS) model, where the CRS is long (as long as the time it takes to do the computation). The soundness of our scheme relies on the assumption that there exists a group with a bilinear map, such that given group elements $g,h,h^t,h^{t^2},$ it is hard to output $g^a,g^b,g^c$ and $h^a,h^b,h^c$ such that $a \cdot t^2 + b \cdot t + c = 0$, but $a,b,c$ are not all zero. Previously, such a result was only known under knowledge assumptions (or in the Random Oracle model), or under non-standard assumptions related to obfuscation or zero-testable homomorphic encryption. We obtain our result by converting the interactive delegation scheme of Goldwasser, Kalai and Rothblum (J. ACM 2015) into a publicly verifiable non-interactive one. As a stepping stone, we give a publicly verifiable non-interactive version of the sum-check protocol of Lund, Fortnow, Karloff, Nisan (J. ACM 1992)