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)

Paper ID: 13105
Venue: VLDB
Year: 2023
Pagerank: 4.1945683e-05
Overall Rank: 11,244 | 21.78%
DOI: 10.14778/3603581.3603597

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No non-self incoming citations found for this paper in this database.

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,115	Federated Heavy Hitter Analytics with Local Differential Privacy	2025	SIGMOD	6.4381114e-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
9,708	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release	2024	VLDB	4.299267e-05

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
2,408	Estimating Numerical Distributions under Local Differential Privacy	2020	SIGMOD	8.8780076e-05
2,899	Privacy at Scale: Local Differential Privacy in Practice	2018	SIGMOD	7.9443198e-05
3,469	CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy	2021	VLDB	7.0674518e-05
3,907	DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems	2015	VLDB	6.6395929e-05
5,497	Real-World Trajectory Sharing with Local Differential Privacy	2021	VLDB	5.4752255e-05

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