Search

Few direct matches — filled in with the latest updates.

Tag: #de-anonymization3 results

LLMs De-Anonymize from Weak Cues

LLMs De-Anonymize from Weak Cues

LLM agents reconstruct real identities from sparse, non-identifying cues by combining with public data. Evaluated on Netflix (79.2% success), AOL, InferLink benchmark, and text artifacts. Inference-driven linkage emerges even in benign tasks, urging privacy reevaluation.

ArXiv AIResearchMar 21#privacy#de-anonymization#benchmark
AI Agents Unmask Anonymous Accounts

AI Agents Unmask Anonymous Accounts

Researchers from ETH Zurich, Anthropic, and MLATS built AI agents that unmask anonymous online accounts like Reddit alts or secret X profiles via web search. The non-peer-reviewed study highlights privacy risks but notes anonymity isn't dead yet. Agents use unspecified models to interact with web info.