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English(EN) Privacy in Personalized AI Is a System Property, Not Just a Model Property

新论文:AI隐私是系统属性,而非仅仅是模型属性

一篇新论文认为,个性化AI系统中的隐私应被视为整个系统的属性,而不仅仅是单个模型的属性。作者们强调了这些系统中的四个关键隐私风险渠道,并提出了系统级隐私评估的要求。他们强调在隐私审计中需要考虑交互轨迹、内部信息流、间接泄露以及隐私-效用权衡。 AI

影响 强调了在AI开发和审计中采取整体性隐私方法的必要性。

排序理由 该集群包含一篇在arXiv上发表的学术论文。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新论文:AI隐私是系统属性,而非仅仅是模型属性

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该集群包含一篇在arXiv上发表的学术论文。
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2 independent sources
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Guillaume Salha-Galvan, Jiaying Xu ·

    个性化AI中的隐私是系统属性,而非仅仅是模型属性

    arXiv:2609.38289v1 Announce Type: cross Abstract: In personalized AI applications, such as conversational assistants and recommender systems, users interact not with models in isolation but with broader systems that access, infer, and reuse user information across components and …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jiaying Xu ·

    个性化AI中的隐私是系统属性,而非仅仅是模型属性

    In personalized AI applications, such as conversational assistants and recommender systems, users interact not with models in isolation but with broader systems that access, infer, and reuse user information across components and over time. While such use of user information is i…