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LLM-Assisted Deanonymization

Large language model (LLM) agents can now deanonymize individuals from a handful of anonymous online posts, achieving high precision across platforms such as Hacker News, Reddit, LinkedIn, and interview transcripts. The technique extracts location, occupation and interest signals, then matches them to web‑scale candidate pools numbering in the tens of thousands. This automation replaces labor‑intensive human investigations, making large‑scale identity inference practical. The research highlights a new privacy vulnerability as unstructured data becomes increasingly exploitable.