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New paper: AI privacy is a system property, not just a model property

A new paper argues that privacy in personalized AI systems should be viewed as a property of the entire system, not just individual models. The authors highlight four key privacy risk channels within these systems and propose requirements for system-level privacy evaluation. They emphasize the need to consider interaction trajectories, internal information flows, indirect leakage, and the privacy-utility trade-off in privacy audits. AI

IMPACT Highlights the need for a holistic approach to privacy in AI development and auditing.

RANK_REASON The cluster contains an academic paper published on arXiv.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New paper: AI privacy is a system property, not just a model property

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0 / 100
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Research
The cluster contains an academic paper published on arXiv.
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2 independent sources
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paper, safety
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High
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9 days old
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COVERAGE [2]

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

    Privacy in Personalized AI Is a System Property, Not Just a Model Property

    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 ·

    Privacy in Personalized AI Is a System Property, Not Just a Model Property

    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…