From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents
arXiv:2603.18382v1 Announce Type: new Abstract: Anonymization is widely treated as a practical safeguard because re-identifying anonymous records was historically costly, requiring domain expertise, tailored algorithms, …
Myeongseob Ko, Jihyun Jeong, Sumiran Singh Thakur, Gyuhak Kim, Ruoxi Jia
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