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LLM Anonymization Against Agentic Re-Identification

Li, Ziwen et al.
arXiv (All) · Papers
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computation-and-languagecryptography-and-security
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
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