Hierarchical Privacy-Preserved Knowledge Graph

Xiaolu Chen, Jie Bao, Pengyuan Zhou, Yong Liao

Abstract: The knowledge graphs have found widespread use in numerous areas. However, as its applications expand, privacy concerns have been raised due to its ability to reveal links between entities in the real world. This brief work introduces an innovative approach to address the concern by considering the hierarchical structure of the knowledge graph to safeguard the privacy of information presented in knowledge graphs.