Researchers Demonstrate LLMs Deanonymize Online Accounts

Researchers from ETH Zurich, Anthropic and the Machine Learning Alignment and Theory Scholars program publish a non-peer-reviewed study showing LLM-based AI agents can deanonymize online accounts. In experiments on Hacker News, LinkedIn, Anthropic interviews and split Reddit accounts the system identified up to 68% of matching accounts at 90% precision and cost under $2,000. The authors warn this automation increases reidentification risks for pseudonymous users.
Scoring Rationale
Strong, novel demonstration of scalable LLM deanonymization; limited by non-peer-reviewed methods and lab-constrained, curated datasets.
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