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A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories

Summary: VisDPT interactively visualizes privacy risks and utility loss in differentially private trajectory releases. It helps curators interpret formal guarantees and compare sanitized mobility data against ground truth when deciding what to publish. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11452
Venue
VLDB
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,066 | 17.22%
DOI
10.14778/3007263.3007329

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BibTeX Citation

@article{he_vldb16,
        title = {{A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories}},
        author = {He, Xi and Raval, Nisarg and Machanavajjhala, Ashwin},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1489--1492},
        doi = {10.14778/3007263.3007329},
        url = {https://doi.org/10.14778/3007263.3007329},
        year = {2016}
}

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