RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
LLM agents are increasingly applied to vulnerability analysis, but existing benchmarks have not kept pace. They typically rely on small non-compilable snippets, focus on binary classification (vulnerable or not), and do not account for the risk that publicly-released datasets are part of model training corpora. We introduce RustMizan, a benchmarking framework for Rust vulnerability analysis that addresses these gaps. RustMizan contains compilable code variants at the crate, file, and function levels, with annotations for binary vulnerability detection, CWE classification, and function- and line-level localization. A paired mutation framework produces semantics-preserving code mutants for ...
| Authors | Tarek Elsayed, Shiping Yang, Eunsong Koh et al. |
|---|---|
| Primary category | cs.CR |
| Published | 6 July 2026 |
| Last updated at source | 6 July 2026 |
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