AIBearisharXiv – CS AI · 18h ago7/10
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Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
Researchers present the first comprehensive safety-aware review of personalized Large Language Models, identifying critical vulnerabilities across personalization techniques and proposing a unified framework for risk mitigation. The study reveals three structural gaps in existing research: safety is treated as user-invariant rather than relational, personalization techniques are analyzed in isolation, and evaluation frameworks fail to capture emerging long-term risks.