AI RESEARCH
LLM Anonymization Against Agentic Re-Identificatio
arXiv CS.CL
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ArXi:2605.30848v1 Announce Type: cross Agentic LLMs with web search change the threat model for text anonymization: weak contextual cues can become cross-referenceable evidence for re-identification, yet those same details also carry downstream analytic value of the text. Existing defenses either remove explicit identifiers, perturb text for formal privacy, or test rewritten text against non-web inference models, leaving underexplored the operating region between resistance to agentic web-search re-identification and utility retention. We.