LLM-Assisted Deanonymization: Practical Risks Revealed
🔎 A new study demonstrates that large language models can reliably deanonymize users from a handful of anonymous posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview transcripts, LLM agents infer location, occupation, and interests and then search the web to find likely identities. The researchers report high precision results that scale to tens of thousands of candidates, showing that automated deanonymization is now practical and widely feasible.
