LLMs can connect identities (deanonymize) with 67% accuracy
Posted: Mon Aug 10, 2026 4:48 am
https://arxiv.org/html/2602.16800v2
At least for Linkedin and Hacker News. Accuracy on Reddit etc. is lower. Still worrying.
At least for Linkedin and Hacker News. Accuracy on Reddit etc. is lower. Still worrying.
We collect 338 Hacker News (HN) users who linked a LinkedIn profile in their publicly-visible HN bio, providing verified real-world identities as ground truth. We first summarize each user’s HN activity (comments and stories) into a structured profile. Then we create a search prompt and anonymize it (see Appendix˜A for details), and pass it to the agent. The agent correctly identifies 226 of 338 targets (67%) at 90% precision (95% CI: 86–93%; 25 incorrect identifications, 86 abstentions). We note that these edited profiles are much easier to identify than most pseudonymous accounts; we discuss this bias in Section˜3.3.