Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale
Paper recorded by Signals 4 on 2026-09-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15
Category: cs.AI · 人工智能 · first seen 2026-09-15
Abstract
Language-model agents increasingly operate over complete software repositories, yet cybersecurity evaluations primarily measure whether they can detect, reproduce, or repair vulnerabilities rather than whether they can locate the relevant code. We study vulnerability localization: given a weakness class and an unfamiliar repository, identify the implementation files associated with that weakness.
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Cite this page: Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale: the #64 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vulnerability-localization-benchmark-measuring-agentic-security-analysis-at-repo.html
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