Computing Local Sensitivities of Counting Queries with Joins
Summary: Local sensitivity of counting queries with joins is NP-hard, even for acyclic conjunctive queries. We track and summarize tuple sensitivities with join-tree algorithms, yielding polynomial-time results for doubly acyclic (incl. path) queries and bounded-degree joins; extendable to some non-acyclic cases via generalized hypertree decompositions, with orders of magnitude DP privacy gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuchao Tao (Duke University)
- 2. Xi He (University of Waterloo)
- 3. Ashwin Machanavajjhala (Duke University)
- 4. Sudeepa Roy (Duke University)
BibTeX Citation
@inproceedings{tao_sigmod20,
title = {{Computing Local Sensitivities of Counting Queries with Joins}},
author = {Tao, Yuchao and He, Xi and Machanavajjhala, Ashwin and Roy, Sudeepa},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389762},
url = {https://dl.acm.org/doi/10.1145/3318464.3389762},
year = {2020}
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