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A demonstration of VisDPT: Visual exploration of differentially private trajectories

Publication ,  Conference
He, X; Raval, N; Machanavajjhala, A
Published in: Proceedings of the VLDB Endowment
January 1, 2015

The release of detailed taxi trips has motivated numerous useful studies, but has also triggered multiple privacy attacks on individuals' trips. Despite these attacks, no tools are available for systematically analyzing the privacy risk of released trajectory data. While, recent studies have proposed mechanisms to publish synthetic mobility data with provable privacy guarantees, the questions on - 1) how to explain the theoretical privacy guarantee to non-privacy experts; and 2) how well private data preserves the properties of ground truth, remain unclear. To address these issues, we propose a system - VisDPT that provides rich visualization of sensitive information in trajectory databases and helps data curators understand the impact on utility due to privacy preserving mechanisms. We believe VisDPT will enable data curators to take informed decisions while publishing sanitized data.

Duke Scholars

Published In

Proceedings of the VLDB Endowment

DOI

EISSN

2150-8097

Publication Date

January 1, 2015

Volume

9

Issue

13

Start / End Page

1489 / 1492

Related Subject Headings

  • 4605 Data management and data science
  • 0807 Library and Information Studies
  • 0806 Information Systems
  • 0802 Computation Theory and Mathematics
 

Citation

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He, X., Raval, N., & Machanavajjhala, A. (2015). A demonstration of VisDPT: Visual exploration of differentially private trajectories. In Proceedings of the VLDB Endowment (Vol. 9, pp. 1489–1492). https://doi.org/10.14778/3007263.3007291
He, X., N. Raval, and A. Machanavajjhala. “A demonstration of VisDPT: Visual exploration of differentially private trajectories.” In Proceedings of the VLDB Endowment, 9:1489–92, 2015. https://doi.org/10.14778/3007263.3007291.
He X, Raval N, Machanavajjhala A. A demonstration of VisDPT: Visual exploration of differentially private trajectories. In: Proceedings of the VLDB Endowment. 2015. p. 1489–92.
He, X., et al. “A demonstration of VisDPT: Visual exploration of differentially private trajectories.” Proceedings of the VLDB Endowment, vol. 9, no. 13, 2015, pp. 1489–92. Scopus, doi:10.14778/3007263.3007291.
He X, Raval N, Machanavajjhala A. A demonstration of VisDPT: Visual exploration of differentially private trajectories. Proceedings of the VLDB Endowment. 2015. p. 1489–1492.

Published In

Proceedings of the VLDB Endowment

DOI

EISSN

2150-8097

Publication Date

January 1, 2015

Volume

9

Issue

13

Start / End Page

1489 / 1492

Related Subject Headings

  • 4605 Data management and data science
  • 0807 Library and Information Studies
  • 0806 Information Systems
  • 0802 Computation Theory and Mathematics