A Parameterized Framework for the Formal Verification of Zero-Knowledge Virtual Machines

Zero-knowledge virtual machines (zkVMs) enable verifiable computation on via succinct Zero-knowledge proofs (ZKPs). However, current zkVMs, still in development, show many bugs. This paper introduces a parameterized framework for the formal verification of zkVMs in Coq. We prove the soundness and completeness of the constraint generation algorithm from machine instructions to semantics-level constraints. Existing works target specific zkVMs, and require repeated proof work in this phase, whereas our proofs are parameterized and can be reused in development and by all zkVMs. We also demonstrate the generality of our framework by instantiation on two examples: Cairo VM and a simplified zkEVM.

Authors

Institutions

Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1145/3689491.3689966
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Parameterized Framework for the Formal Verification of Zero-Knowledge Virtual Machines

Yingqian Zhong
Security and Verification in Computing
article

A Parameterized Framework for the Formal Verification of Zero-Knowledge Virtual Machines

Yingqian Zhong
article en

Abstract

Zero-knowledge virtual machines (zkVMs) enable verifiable computation on via succinct Zero-knowledge proofs (ZKPs). However, current zkVMs, still in development, show many bugs. This paper introduces a parameterized framework for the formal verification of zkVMs in Coq. We prove the soundness and completeness of the constraint generation algorithm from machine instructions to semantics-level constraints. Existing works target specific zkVMs, and require repeated proof work in this phase, whereas our proofs are parameterized and can be reused in development and by all zkVMs. We also demonstrate the generality of our framework by instantiation on two examples: Cairo VM and a simplified zkEVM.

Shanghai Jiao Tong University (CN)
Reduced inequalities
Openalex Percentile: Top 84%
Security and Verification in Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Parameterized Framework for the Formal Verification of Zero-Knowledge Virtual Machines — Yingqian Zhong · (2024) | TGRS Research Map | TGRS