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A Framework for Privacy Preserving Localized Graph Pattern Query Processing

Summary: First privacy-preserving framework for outsourced LGPQs (subgraph homomorphism, isomorphism, strong simulation) with ball-limited patterns. Prilo* uses a bloom filter for trees in the TEE, twiglet-based pruning, and secure ball retrieval to yield ~4x speedup while preserving query privacy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6694
Venue
SIGMOD
Year
2023
Pagerank
5.4073203e-05
Overall Rank
8,586 | 41.10%
DOI
10.1145/3589274

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xu_sigmod23,
        title = {{A Framework for Privacy Preserving Localized Graph Pattern Query Processing}},
        author = {Xu, Lyu and Choi, Byron and Peng, Yun and Xu, Jianliang and Bhowmick, Sourav S},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589274},
        url = {https://dl.acm.org/doi/10.1145/3589274},
        year = {2023}
}

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