Welcome to the resource topic for 2024/336
Title:
RAMenPaSTA: Parallelizable Scalable Transparent Arguments of Knowledge for RAM Programs
Authors: Khai Hanh Tang, Minh Pham, Chan Nam Ngo
Abstract:Incremental Verifiable Computation (IVC) allows a prover to prove to a verifier the correct execution of a sequential computation. Recent works focus on improving the universality and efficiency of IVC Schemes, which can be categorized into Accumulation and Folding-based IVCs with Folding-based ones being more efficient (due to their deferred proof generation until the final step). Unfortunately, both approaches satisfy only heuristic security as they model the Random Oracle (RO) as a circuit in their non-constant depth recursive composition of the base Scheme. Such drawback is two-fold: to connect the consecutive execution step the RO is recursively modeled as a circuit during the folding or the accumulating process, and again in the final SNARK wrapper circuit (a common practice in Folding-based IVCs).
We revisit this problem, with a focus on the Folding-based IVCs due to their efficiency, and propose the detachment of RO invocation from the folding circuit. We can instead accumulate such invocations, yielding the so-called Conditional Folding (CF) Scheme to overcome the first drawback. One can consider our CF Scheme a hybrid Folding-Accumulation Scheme with provable security. We provide a non-trivial practical construction for our CF scheme that is natively parallelizable, which offers great efficiency. We rigorously prove the security of our CF scheme (also for the case of folding in parallel; and our scheme can be made non-interactive using Fiat-Shamir). Our CF scheme is generic and does not require trusted setup. It can be adapted to construct the first IVC for RAM programs, i.e. Parallelizable Scalable Transparent Arguments of Knowledge for RAM Programs that we dub RAMenPaSTA, that can be used to build zero-knowledge virtual machines (zkVMs). Both our CF Scheme and RAMenPaSTA can be of independent research interests.
ePrint: https://eprint.iacr.org/2024/336
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