SOURCE-LINKED INTELLIGENCE

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

arXiv · AI, language, vision and robotics · article · Sep 11, 2026 · UTC

Sensitive attributes such as age, income, and occupation can be inferred from user-generated content by aggregating indirect cues across many ordinary posts. LLM-based profilers can perform this aggregation automatically and with high accuracy, which makes large-scale personal attribute inference a major privacy threat. Existing LLM-based profilers, however, offer limited insight into which specific posts, concepts, and relationships made an inference possible, which is key to targeted privacy mitigation, i.e., redacting or rewriting only the few posts that actually leak an attribute, rather t

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