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English(EN) Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck

Pluvio系统利用迁移学习进行跨域汇编克隆搜索

研究人员开发了Pluvio,一个用于识别不同架构和库之间克隆汇编代码的新颖系统。该方法利用了来自大规模预训练自然语言模型的迁移学习,将人类专业知识融入汇编代码分析。Pluvio还采用了一个强化学习代理来优化令牌序列,并采用变分信息瓶颈策略来增强对未见架构和优化设置的泛化能力。 AI

影响 引入了一种新的代码重用分析方法,有望提高软件安全性和知识产权保护。

排序理由 这是一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

Pluvio系统利用迁移学习进行跨域汇编克隆搜索

本文如何被排名

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Tool
这是一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhiwei Fu, Steven H. H. Ding, Furkan Alaca, Benjamin C. M. Fung, Philippe Charland ·

    Pluvio:通过迁移学习和条件变分信息瓶颈为域外架构和库进行程序集克隆搜索

    arXiv:2307.10631v2 Announce Type: replace-cross Abstract: The practice of code reuse is crucial in software development for a faster and more efficient development lifecycle. In reality, however, code reuse practices lack proper control, resulting in issues such as vulnerability …