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arXiv Computation and Language By Ahmed Sohair Khan, Estrid He, Chenglong Ma, Monica Wachowicz, Elham Naghizade

GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs

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GraphProfiler is an auditable LLM-based profiler that infers sensitive attributes such as age, income, and occupation from user-generated content by aggregating indirect cues across many posts. It represents each user's post history as a source-linked personal knowledge graph, allowing predictions to be traced back to specific posts, concepts, and relationships. The system achieves an 86.7% success rate on the SynthPAI benchmark and 84.6% on PANDORA, citing supporting evidence for over 98% of predictions and demonstrating that cited posts significantly contribute to attack success.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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