Trajectory Data Collection with Local Differential Privacy
Summary: Proposes a pure ε-LDP trajectory perturbation mechanism that uniquely leverages adjacent-direction information of each point to constrain perturbation candidates using only the underlying location set. Adds an anchor-based adaptive region restriction to tighten perturbed trajectories without external priors, markedly improving utility in extensive real and synthetic experiments. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yuemin Zhang (Harbin Engineering University)
- 2. Qingqing Ye (Hong Kong Polytechnic University)
- 3. Rui Chen (Harbin Engineering University)
- 4. Haibo Hu (Hong Kong Polytechnic University)
- 5. Qilong Han (Harbin Engineering University)
BibTeX Citation
@article{zhang_vldb23,
title = {{Trajectory Data Collection with Local Differential Privacy}},
author = {Zhang, Yuemin and Ye, Qingqing and Chen, Rui and Hu, Haibo and Han, Qilong},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {10},
pages = {2591--2604},
doi = {10.14778/3603581.3603597},
url = {https://doi.org/10.14778/3603581.3603597},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,868 | Federated Heavy Hitter Analytics with Local Differential Privacy | 2025 | SIGMOD | 5.9648445e-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 |
| 9,994 | DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release | 2024 | VLDB | 5.0981738e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,585 | Privacy at Scale: Local Differential Privacy in Practice | 2018 | SIGMOD | 8.2572535e-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 |
| 3,938 | DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems | 2015 | VLDB | 6.9153613e-05 |
| 5,458 | Real-World Trajectory Sharing with Local Differential Privacy | 2021 | VLDB | 6.1234269e-05 |
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