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English(EN) SoK: Attack and Defense Landscape of Mobile On-device AI Systems

新研究系统化梳理移动端侧AI安全格局

本文全面系统地梳理了移动端侧AI(MoAI)系统的安全性。文章概述了MoAI相关的安全支柱、攻击向量和防御机制,MoAI将本地AI模型与移动软件集成,以实现隐私保护和离线功能。该研究指出了MoAI安全性的当前差距,并提出了未来研究方向,以促进更安全的端侧AI应用的开发。 AI

影响 为理解和改进直接部署在移动设备上的AI模型的安全性奠定了基础框架。

排序理由 这是一篇提供特定技术主题知识系统化梳理的研究论文。[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 →

新研究系统化梳理移动端侧AI安全格局

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这是一篇提供特定技术主题知识系统化梳理的研究论文。[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.
Topics
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High
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132 days old
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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) · Yujin Huang, Xin Zheng, Xingliang Yuan, Kwok-Yan Lam ·

    SoK:移动端设备上AI系统的攻击与防御态势

    arXiv:2607.00362v1 Announce Type: cross Abstract: Mobile on-device AI (MoAI) systems that integrate locally deployed AI models with conventional mobile software components are emerging as a key paradigm for delivering intelligent functionality directly on end-user devices. By mov…