English(EN) MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection

新的MARGIN框架增强了不平衡软件漏洞检测能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-09 04:00

研究人员推出了一种新颖的MARGIN框架，旨在提高软件漏洞检测能力，特别是针对频率和难度不平衡的数据集。MARGIN通过嵌入几何的视角重新解读这些挑战，提出不平衡会导致超球表示空间失真。该框架采用自适应边距度量学习和超球原型建模，以创建更具辨别力的漏洞表示，并根据分布结构动态调整正则化，以增强稳定性和泛化能力。 AI

排序理由该集群包含一篇研究论文，详细介绍了软件漏洞检测的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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本文如何被排名

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Yuteng Zhang, Huifang Ma, Jiahui Wei, Qingqing Li, Yafei Yang · 2026-07-09 04:00

MARGIN: 边距感知正则化几何用于不平衡漏洞检测

arXiv:2605.10240v3 Announce Type: replace-cross Abstract: Software vulnerability detection is critical for ensuring software security and reliability. Despite recent advances in deep learning, real-world vulnerability datasets suffer from two severe challenges: frequency imbalanc…

本文如何被排名

报道来源 [1]

MARGIN: 边距感知正则化几何用于不平衡漏洞检测

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