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11
From extractable collision resistance to succinct noninteractive arguments of knowledge, and back again
, 2011
"... The existence of succinct noninteractive arguments for NP (i.e., noninteractive computationallysound proofs where the verifier’s work is essentially independent of the complexity of the NP nondeterministic verifier) has been an intriguing question for the past two decades. Other than CS proofs in ..."
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Cited by 25 (11 self)
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The existence of succinct noninteractive arguments for NP (i.e., noninteractive computationallysound proofs where the verifier’s work is essentially independent of the complexity of the NP nondeterministic verifier) has been an intriguing question for the past two decades. Other than CS proofs in the random oracle model [Micali, FOCS ’94], the only existing candidate construction is based on an elaborate assumption that is tailored to a specific protocol [Di Crescenzo and Lipmaa, CiE ’08]. We formulate a general and relatively natural notion of an extractable collisionresistant hash function (ECRH) and show that, if ECRHs exist, then a modified version of Di Crescenzo and Lipmaa’s protocol is a succinct noninteractive argument for NP. Furthermore, the modified protocol is actually a succinct noninteractive adaptive argument of knowledge (SNARK). We then propose several candidate constructions for ECRHs and relaxations thereof. We demonstrate the applicability of SNARKs to various forms of delegation of computation, to succinct noninteractive zero knowledge arguments, and to succinct twoparty secure computation. Finally, we show that SNARKs essentially imply the existence of ECRHs, thus demonstrating the necessity of
Practical Verified Computation with Streaming Interactive Proofs
"... When delegating computation to a service provider, as in the cloud computing paradigm, we seek some reassurance that the output is correct and complete. Yet recomputing the output as a check is inefficient and expensive, and it may not even be feasible to store all the data locally. We are therefore ..."
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Cited by 15 (2 self)
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When delegating computation to a service provider, as in the cloud computing paradigm, we seek some reassurance that the output is correct and complete. Yet recomputing the output as a check is inefficient and expensive, and it may not even be feasible to store all the data locally. We are therefore interested in what can be validated by a streaming (sublinear space) user, who cannot store the full input, or perform the full computation herself. Our aim in this work is to advance a recent line of work on “proof systems ” in which the service provider proves the correctness of its output to a user. The goal is to minimize the time and space costs of both parties in generating and checking the proof. Only very recently have there been attempts to implement such proof systems, and thus far these have been quite limited in
Memory Delegation
, 2011
"... We consider the problem of delegating computation, where the delegator doesn’t even know the input to the function being delegated, and runs in time significantly smaller than the input length. For example, consider the setting of memory delegation, where a delegator wishes to delegate her entire me ..."
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Cited by 11 (2 self)
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We consider the problem of delegating computation, where the delegator doesn’t even know the input to the function being delegated, and runs in time significantly smaller than the input length. For example, consider the setting of memory delegation, where a delegator wishes to delegate her entire memory to the cloud. The delegator may want the cloud to compute functions on this memory, and prove that the functions were computed correctly. As another example, consider the setting of streaming delegation, where a stream of data goes by, and a delegator, who cannot store this data, delegates this task to the cloud. Later the delegator may ask the cloud to compute statistics on this streaming data, and prove the correctness of the computation. We note that in both settings the delegator must keep a (short) certificate of the data being delegated, in order to later verify the correctness of the computations. Moreover, in the streaming setting, this certificate should be computed in a streaming manner. We construct both memory and streaming delegation schemes. We present noninteractive constructions based on the (standard) delegation scheme of Goldwasswer et. al. [GKR08]. These schemes allow the delegation of any function computable by an Luniform circuit of low depth (the complexity of the delegator depends linearly on the depth). For memory delegation, we rely on the existence of a polylog PIR scheme, and for streaming, we rely on the existence of a fully homomorphic encryption scheme. We also present constructions based on the CSproofs of Micali. These schemes allow the delegation of any function in P. However, they are interactive (i.e., consists of 4 messages), or are noninteractive in the Random Oracle Model.
Verifiable computation with massively parallel interactive proofs
 CoRR
"... Abstract — As the cloud computing paradigm has gained prominence, the need for verifiable computation has grown increasingly urgent. Protocols for verifiable computation enable a weak client to outsource difficult computations to a powerful, but untrusted server, in a way that provides the client wi ..."
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Cited by 9 (1 self)
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Abstract — As the cloud computing paradigm has gained prominence, the need for verifiable computation has grown increasingly urgent. Protocols for verifiable computation enable a weak client to outsource difficult computations to a powerful, but untrusted server, in a way that provides the client with a guarantee that the server performed the requested computations correctly. By design, these protocols impose a minimal computational burden on the client, but they require the server to perform a very large amount of extra bookkeeping to enable a client to easily verify the results. Verifiable computation has thus remained a theoretical curiosity, and protocols for it have not been implemented in real cloud computing systems. In this paper, we assess the potential of parallel processing to help make practical verification a reality, identifying abundant data parallelism in a stateoftheart generalpurpose protocol for verifiable computation. We implement this protocol on the GPU, obtaining 40120 × serverside speedups relative to a stateoftheart sequential implementation. For benchmark problems, our implementation thereby reduces the slowdown of the server to within factors of 100500 × relative to the original computations requested by the client. Furthermore, we reduce the already small runtime of the client by 100×. Our results demonstrate the immediate practicality of using GPUs for verifiable computation, and more generally, that protocols for verifiable computation have become sufficiently mature to deploy in real cloud computing systems. I.
Succinct noninteractive arguments via linear . . .
, 2012
"... Succinct noninteractive arguments (SNARGs) enable verifying NP statements with lower complexity than required for classical NP verification. Traditionally, the focus has been on minimizing the length of such arguments; nowadays researches have focused also on minimizing verification time, by drawin ..."
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Cited by 7 (1 self)
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Succinct noninteractive arguments (SNARGs) enable verifying NP statements with lower complexity than required for classical NP verification. Traditionally, the focus has been on minimizing the length of such arguments; nowadays researches have focused also on minimizing verification time, by drawing motivation from the problem of delegating computation. A common relaxation is a preprocessing SNARG, which allows the verifier to conduct an expensive offline phase that is independent of the statement to be proven later. Recent constructions of preprocessing SNARGs have achieved attractive features: they are publiclyverifiable, proofs consist of only O(1) encrypted (or encoded) field elements, and verification is via arithmetic circuits of size linear in the NP statement. Additionally, these constructions seem to have “escaped the hegemony ” of probabilisticallycheckable proofs (PCPs) as a basic building block of succinct arguments. We present
Rational Proofs
"... We study a new type of proof system, where an unbounded prover and a polynomial time verifier interact, on inputs a string x and a function f, so that the Verifier may learn f(x). The novelty of our setting is that there no longer are “good” or “malicious ” provers, but only rational ones. In essenc ..."
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Cited by 2 (2 self)
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We study a new type of proof system, where an unbounded prover and a polynomial time verifier interact, on inputs a string x and a function f, so that the Verifier may learn f(x). The novelty of our setting is that there no longer are “good” or “malicious ” provers, but only rational ones. In essence, the Verifier has a budget c and gives the Prover a reward r ∈ [0, c] determined by the transcript of their interaction; the prover wishes to maximize his expected reward; and his reward is maximized only if he the verifier correctly learns f(x). Rational proof systems are as powerful as their classical counterparts for polynomially many rounds of interaction, but are much more powerful when we only allow a constant number of rounds. Indeed, we prove that if f ∈ #P, then f is computable by a oneround rational MerlinArthur game, where, on input x, Merlin’s single message actually consists of sending just the value f(x). Further, we prove that CH, the counting hierarchy, coincides with the class of languages computable by a constantround rational MerlinArthur game. Our results rely on a basic and crucial connection between rational proof systems and proper scoring rules, a tool developed to elicit truthful information from experts.
TimeOptimal Interactive Proofs for Circuit Evaluation
"... Several research teams have recently been working toward the development of practical generalpurpose protocols for verifiable computation. These protocols enable a computationally weak verifier to offload computations to a powerful but untrusted prover, while providing the verifier with a guarantee ..."
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Cited by 2 (0 self)
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Several research teams have recently been working toward the development of practical generalpurpose protocols for verifiable computation. These protocols enable a computationally weak verifier to offload computations to a powerful but untrusted prover, while providing the verifier with a guarantee that the prover performed the requested computations correctly. Despite substantial progress, existing implementations require further improvements before they become practical for most settings. The main bottleneck is typically the extra effort required by the prover to return an answer with a guarantee of correctness, compared to returning an answer with no guarantee. We describe a refinement of a powerful interactive proof protocol due to Goldwasser, Kalai, and Rothblum [21]. Cormode, Mitzenmacher, and Thaler [14] show how to implement the prover in this protocol in time O(SlogS), where S is the size of an arithmetic circuit computing the function of interest. Our refinements apply to circuits with sufficiently “regular ” wiring patterns; for these circuits, we bring the runtime of the prover down to O(S). That is, our prover can evaluate the circuit with a guarantee of correctness, with only a constantfactor blowup in work compared to evaluating the circuit with no guarantee.
Publicly Verifiable Grouped Aggregation Queries on Outsourced Data Streams
"... Abstract—Outsourcing data streams and desired computations to a third party such as the cloud is a desirable option to many companies. However, data outsourcing and remote computations intrinsically raise issues of trust, making it crucial to verify results returned by third parties. In this context ..."
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Cited by 1 (0 self)
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Abstract—Outsourcing data streams and desired computations to a third party such as the cloud is a desirable option to many companies. However, data outsourcing and remote computations intrinsically raise issues of trust, making it crucial to verify results returned by third parties. In this context, we propose a novel solution to verify outsourced grouped aggregation queries (e.g., histogram or SQL Groupby queries) that are common in many business applications. We consider a setting where a data owner employs an untrusted remote server to run continuous grouped aggregation queries on a data stream it forwards to the server. Untrusted clients then query the server for results and efficiently verify correctness of the results by using a small and easytocompute signature provided by the data owner. Our work complements previous works on authenticating remote computation of selection and aggregation queries. The most important aspect of our solution is that it is publicly verifiable— unlike most prior works, we support untrusted clients (who can collude with other clients or with the server). Experimental results on real and synthetic data show that our solution is practical and efficient. I.
Streaming Authenticated Data Structures
"... Abstract. We consider the problem of streaming verifiable computation, where both a verifier and a prover observe a stream of n elements x1, x2,..., xn and the verifier can later delegate some computation over the stream to the prover. The prover must return the output of the computation, along with ..."
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Abstract. We consider the problem of streaming verifiable computation, where both a verifier and a prover observe a stream of n elements x1, x2,..., xn and the verifier can later delegate some computation over the stream to the prover. The prover must return the output of the computation, along with a cryptographic proof to be used for verifying the correctness of the output. Due to the nature of the streaming setting, the verifier can only keep small local state (e.g., logarithmic) which must be updatable in a streaming manner and with no interaction with the prover. Such constraints make the problem particularly challenging and rule out applying existing verifiable computation schemes. We propose streaming authenticated data structures, a model that enables efficient verification of data structure queries on a stream. Compared to previous work, we achieve an exponential improvement in the prover’s running time: While previous solutions have linear prover complexity (in the size of the stream), even for queries executing in sublinear time (e.g., set membership), we propose a scheme with O(log M log n) prover complexity, where n is the size of the stream and M is the size of the universe of elements. Our schemes support a series of expressive queries, such as (non)membership, successor, range search and frequency queries, over an ordered universe and even in higher dimensions. The central idea of our construction is a new authentication tree, called generalized hash tree. We instantiate our generalized hash tree with a hash function based on lattices assumptions, showing that it enjoys suitable algebraic properties that traditional Merkle trees lack. We exploit such properties to achieve our results. 1
Lightweight Authentication of Linear Algebraic Queries on Data Streams ABSTRACT
"... We consider a stream outsourcing setting, where a data owner delegates the management of a set of disjoint data streams to an untrusted server. The owner authenticates his streams via signatures. The server processes continuous queries on the union of the streams for clients trusted by the owner. Al ..."
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We consider a stream outsourcing setting, where a data owner delegates the management of a set of disjoint data streams to an untrusted server. The owner authenticates his streams via signatures. The server processes continuous queries on the union of the streams for clients trusted by the owner. Along with the results, the server sends proofs of result correctness derived from the owner’s signatures, which are easily verifiable by the clients. We design novel constructions for a collection of fundamental problems over streams represented as linear algebraic queries. In particular, our basic schemes authenticate dynamic vector sums and dot products, as well as dynamic matrix products. These techniques can be adapted for authenticating a wide range of important operations in streaming environments, including group by queries, joins, innetwork aggregation, similarity matching, and event processing. All our schemes are very lightweight, and offer strong cryptographic guarantees derived from formal definitions and proofs. We experimentally confirm the practicality of our schemes.