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English(EN) PassGPT+: Leveraging Linguistic Priors for Password Modeling

新的PassGPT+模型利用语言先验增强密码安全分析

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了PassGPT+，一个利用GPT-2的语言先验来改进密码建模的新模型。这种方法将语言模型对语言结构的理解应用于人类生成的密码中发现的特定模式。该研究还引入了PassDiffusion，一个用于密码生成的离散扩散模型，但发现其在此任务上的效果远不如自回归模型。在RockYou基准测试中，PassGPT+比其前身PassGPT相对提高了16%，并在对更近期数据集的泛化能力方面表现强劲。 AI

影响 通过更好地模拟人类密码生成模式来改进安全分析。

排序理由 详细介绍新模型及其性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的PassGPT+模型利用语言先验增强密码安全分析

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详细介绍新模型及其性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Rajneesh Anand, Neeraj Lakshmanan, Masoud Yari ·

    PassGPT+: 利用语言先验进行密码建模

    arXiv:2609.39880v1 Announce Type: cross Abstract: Passwords remain the dominant online authentication mechanism, and understanding how humans choose them is essential for defensive strength estimation and attack simulation alike. Recent learning-based approaches such as PassGAN a…

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