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RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities

NeurIPS 2026 · Adversarial robustness and security › Certified and empirical robustness · approach: Provable defenses and their limits · 0 citations (OpenAlex)

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Introduces RustMizan, a compilable, multi-level Rust CVE benchmark with four vulnerability-analysis tasks and a semantics-preserving mutation framework for contamination testing and adversarial robustness, evaluated on four frontier LLM agents.

Problem

Existing vulnerability benchmarks use small non-compilable snippets, focus on binary detection, and risk training-data contamination; Rust is underrepresented.

Approach

A Rust vulnerability benchmark where each CVE is packaged as compilable crate, file, and function-level variants with four task annotations, paired with a compiler-tool-based mutation framework (rustfmt, syn/quote, rust-analyzer) that preserves ground truth via marker, content-based, and rename-validation tracking.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: RustSec Advisory Database

Benchmarks: RustMizan

Metrics: CVC Accuracy CWE F1 Function localization F1 Line localization F1 Success@1

Baselines: CVE-Bench CodeMorph DEFECTS4J-TRANS ReCode VJBench-trans

Builds on: ReAct CVE-Bench CodeMorph DEFECTS4J-TRANS ReCode

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