Attribute inference attacks succeed on KGE outputs and randomization-based sanitization offers partial mitigation at the cost of recommendation utility.
Survey and open problems in privacy-preserving knowl edge graph: merg- ing, query, representation, completion, and applications
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Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
Attribute inference attacks succeed on KGE outputs and randomization-based sanitization offers partial mitigation at the cost of recommendation utility.