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English(EN) ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

新的ARVO数据集增强了开源软件漏洞的可复现性

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ARVO，一个旨在提高开源软件漏洞数据可复现性的新数据集。该数据集通过专注于使每个漏洞在不同版本之间都能持续地重建、触发和分析，解决了可复现性、数量和多样性之间常见的权衡问题。ARVO包含来自311个项目的6100多个真实世界漏洞，成功复现了其中81%，并在定位相应补丁方面达到了89.4%的准确率。 AI

排序理由 该集群描述了一个新的学术数据集，专注于提高软件漏洞研究的可复现性。[lever_c_demoted from research: ic=1 ai=0.4]

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新的ARVO数据集增强了开源软件漏洞的可复现性

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该集群描述了一个新的学术数据集，专注于提高软件漏洞研究的可复现性。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xiang Mei, Jordi Del Castillo, Pulkit Singh Singaria, Haoran Xi, Abdelouahab Benchikh, Tiffany Bao, Ruoyu Wang, Yan Shoshitaishvili, Adam Doup\'e, Hammond Pearce, Brendan Dolan-Gavitt ·

    ARVO：开源软件可复现漏洞图谱

    arXiv:2606.17283v1 Announce Type: cross Abstract: Achieving reproducibility, quantity, and diversity in vulnerability datasets has long been viewed as an inherent three-way trade-off, where improving one dimension often comes at the cost of the others. In practice, reproducibilit…

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