LLMs Can Deanonymize Pseudonymous Users for $1–$4 Each, USENIX Study Finds
RSync25 · x · 2026-09-25
- Research presented at USENIX Security 2026 shows LLMs can deanonymize pseudonymous internet users at scale by analyzing posts and matching them across platforms.
- Successful identifications cost as little as $1–$4 each; using higher-reasoning models doubled the matching success rate.
- The team warns deanonymization will get cheaper and more effective as AI improves, forcing platforms to rethink what online anonymity means.
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