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A Hybrid Approach to Semi-automated Rust Verification

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arxiv 2403.15122 v3 pith:6UE6GGEB submitted 2024-03-22 cs.PL

classification cs.PL
keywords rustverificationapproachcodegillian-rusthybridsemi-automatedunsafe
verification ladder T0 review T1 audit T2 compute T3 formal
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We propose a hybrid approach to end-to-end Rust verification where the proof effort is split into powerful automated verification of safe Rust and targeted semi-automated verification of unsafe Rust. To this end, we present Gillian-Rust, a proof-of-concept semi-automated verification tool built on top of the Gillian platform that can reason about type safety and functional correctness of unsafe code. Gillian-Rust automates a rich separation logic for real-world Rust, embedding the lifetime logic of RustBelt and the parametric prophecies of RustHornBelt, and is able to verify real-world Rust standard library code with only minor annotations and with verification times orders of magnitude faster than those of comparable tools. We link Gillian-Rust with Creusot, a state-of-the-art verifier for safe Rust, by providing a systematic encoding of unsafe code specifications that Creusot can use but cannot verify, demonstrating the feasibility of our hybrid approach.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. HarnessLLM: Rust Verification Harness Generation with Large Language Models

    cs.SE 2026-07 conditional novelty 6.0 of 10

    HarnessLLM extracts API calling scenarios from Rust tests and uses LLMs to synthesize Kani harnesses, achieving 100% compile success and finding 6 real memory-safety bugs.

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