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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)

Paper ID
5977
Venue
SIGMOD
Year
2020
Pagerank
7.5578613e-05
Overall Rank
3,104 | 78.41%
DOI
10.1145/3318464.3389762

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Incoming Citations (Sorted by Pagerank)

Showing 23 of 23 citing papers.

Rank Citing Paper Year Venue Pagerank
5,349 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 5.553869e-05
5,491 R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys 2022 SIGMOD 5.4776364e-05
5,519 IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy 2022 SIGMOD 5.4619886e-05
5,885 Continual Observation of Joins under Differential Privacy 2024 SIGMOD 5.2880878e-05
6,565 Toward Interpretable and Actionable Data Analysis with Explanations and Causality 2022 VLDB 5.0081626e-05
7,064 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 4.8450749e-05
7,328 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 4.7610909e-05
7,439 Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy 2023 SIGMOD 4.7304034e-05
7,579 A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries 2022 PODS 4.706055e-05
7,864 Differentially Private Data Release over Multiple Tables 2023 PODS 4.6327272e-05
7,943 Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity 2021 VLDB 4.613363e-05
8,873 Privacy Amplification by Sampling under User-level Differential Privacy 2024 SIGMOD 4.4313867e-05
9,652 Secure Sampling for Approximate Multi-party Query Processing 2023 SIGMOD 4.3109001e-05
9,766 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 4.2856106e-05
9,796 DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries 2023 SIGMOD 4.2818172e-05
10,041 A General Framework for Per-record Differential Privacy 2026 SIGMOD 4.1945683e-05
10,513 Computing Inconsistency Measures Under Differential Privacy 2025 SIGMOD 4.1945683e-05
10,724 Privacy-Enhanced Database Synthesis for Benchmark Publishing 2025 VLDB 4.1945683e-05
10,875 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 4.1945683e-05
11,132 A Branch-&-Bound Algorithm for Fractional Hypertree Decomposition 2024 VLDB 4.1945683e-05
11,163 Universal Private Estimators 2023 PODS 4.1945683e-05
11,281 Explaining Differentially Private Query Results With DPXPlain 2023 VLDB 4.1945683e-05
11,514 ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee 2021 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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