DBScholar

Back to papers

Answering Multi-Dimensional Analytical Queries under Local Differential Privacy

Summary: Answering multi-dimensional analytical (MDA) queries under local differential privacy (LDP). Proposes LDP encoders and estimation algorithms for predicates (categorical/ordinal) and aggregations, with tight error bounds and polylog dependence; scalable to high dimensions, validated on real/synthetic data against marginal-estimation baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hbe589f140ff6d4bf
Venue
SIGMOD
Year
2019
Pagerank
8.6206562e-05
Overall Rank
2,336 | 84.30%
DOI
10.1145/3299869.3319891

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod19,
        title = {{Answering Multi-Dimensional Analytical Queries under Local Differential Privacy}},
        author = {Wang, Tianhao and Ding, Bolin and Zhou, Jingren and Hong, Cheng and Huang, Zhicong and Li, Ninghui and Jha, Somesh},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319891},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319891},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
2,455 Towards Practical Oblivious Join 2022 SIGMOD 8.4390594e-05
2,803 Estimating Numerical Distributions under Local Differential Privacy 2020 SIGMOD 7.9855215e-05
3,174 CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy 2021 VLDB 7.5678238e-05
3,234 LDP-IDS: Local Differential Privacy for Infinite Data Streams 2022 SIGMOD 7.5031195e-05
3,780 Dealer: An End-to-End Model Marketplace with Differential Privacy 2021 VLDB 7.0249464e-05
4,214 Answering Multi-Dimensional Range Queries under Local Differential Privacy 2021 VLDB 6.7295366e-05
4,944 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 6.3439252e-05
5,575 Improving Utility and Security of the Shuffler-based Differential Privacy 2020 VLDB 6.0792754e-05
5,726 Privacy Amplification via Shuffling: Unified, Simplified, and Tightened 2024 VLDB 6.0167127e-05
6,471 Differentially Private Vertical Federated Clustering 2023 VLDB 5.7740805e-05
8,061 A workload-adaptive mechanism for linear queries under local differential privacy 2020 VLDB 5.3958211e-05
8,975 FederatedScope: A Flexible Federated Learning Platform for Heterogeneity 2023 VLDB 5.2453127e-05
9,421 DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy 2019 VLDB 5.1799055e-05
9,473 PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy 2024 VLDB 5.1708619e-05
9,726 PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy 2025 SIGMOD 5.1349531e-05
9,729 Practical and Accurate Local Edge Differentially Private Graph Algorithms 2025 VLDB 5.1349531e-05
9,886 Querying Shared Data with Security Heterogeneity 2020 SIGMOD 5.1166963e-05
10,660 MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy 2026 SIGMOD 4.9793485e-05
11,057 A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries 2026 VLDB 4.9793485e-05
11,272 Federated Data Distribution Shift Estimation 2025 VLDB 4.9793485e-05
11,566 AAA: an Adaptive Mechanism for Locally Differentially Private Mean Estimation 2024 VLDB 4.9793485e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers