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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
- 5703
- Venue
- SIGMOD
- Year
- 2019
- Pagerank
- 8.5477878e-05
- Overall Rank
- 2,555 | 82.23%
- DOI
-
10.1145/3299869.3319891
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,408 |
Estimating Numerical Distributions under Local Differential Privacy |
2020 |
SIGMOD |
8.8780076e-05 |
| 3,159 |
Towards Practical Oblivious Join |
2022 |
SIGMOD |
7.4630494e-05 |
| 3,368 |
Answering Multi-Dimensional Range Queries under Local Differential Privacy |
2021 |
VLDB |
7.1714763e-05 |
| 3,433 |
LDP-IDS: Local Differential Privacy for Infinite Data Streams |
2022 |
SIGMOD |
7.0998035e-05 |
| 3,469 |
CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy |
2021 |
VLDB |
7.0674518e-05 |
| 3,836 |
Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
6.7153977e-05 |
| 5,229 |
Improving Utility and Security of the Shuffler-based Differential Privacy |
2020 |
VLDB |
5.6154535e-05 |
| 5,349 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.553869e-05 |
| 6,700 |
Differentially Private Vertical Federated Clustering |
2023 |
VLDB |
4.9563668e-05 |
| 7,471 |
A workload-adaptive mechanism for linear queries under local differential privacy |
2020 |
VLDB |
4.7199888e-05 |
| 7,484 |
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened |
2024 |
VLDB |
4.7180617e-05 |
| 8,651 |
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity |
2023 |
VLDB |
4.4757309e-05 |
| 9,195 |
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy |
2019 |
VLDB |
4.3756951e-05 |
| 9,285 |
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy |
2024 |
VLDB |
4.3623546e-05 |
| 9,393 |
PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy |
2025 |
SIGMOD |
4.3441378e-05 |
| 9,578 |
Querying Shared Data with Security Heterogeneity |
2020 |
SIGMOD |
4.3248081e-05 |
| 10,184 |
MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,312 |
A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries |
2026 |
VLDB |
4.1945683e-05 |
| 10,612 |
Federated Data Distribution Shift Estimation |
2025 |
VLDB |
4.1945683e-05 |
| 10,727 |
Practical and Accurate Local Edge Differentially Private Graph Algorithms |
2025 |
VLDB |
4.1945683e-05 |
| 11,019 |
AAA: an Adaptive Mechanism for Locally Differentially Private Mean Estimation |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Answering Range Queries Under Local Differential Privacy |
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A workload-adaptive mechanism for linear queries under local differential privacy |
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Answering Range Queries Under Local Differential Privacy |
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