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Scalable Deanonymization through Agentic OSINT
Finally someone went out to show it: every trace of information you leave in public can be scalably aggregated with LLMs to de-anonymize you. Every instance of “i work in field X” or “i’m too young for Y” can be combined to form a profile of you, and later linked to your name.
Every tweet, every comment on hackers news, it adds up and will eventually enable a linkage attack, where they have sufficient information to find a profile of yours with a name, e.g., on LinkedIn, or the specific project that you didn’t mention by name.
This is from a paper that dropped today on arxiv by Simon Lermen, Daniel Paleka et al. under supervision from Florian Tramèr