Trajectory Re-identification

Trajectory Re-Identification is a methodological framework within the domain of privacy-preserving data analysis that specifically enables the linkage of anonymized spatiotemporal trajectories to identifiable individuals by exploiting patterns in movement data across disparate datasets or time intervals.

29

Publications

1.8K

Citations

117

Authors

49

Institutions

Publications per year

2017–2026

16

Authors

117

  1. KZ
    Kai Zhao

    Tsinghua University, China

    2 publications · 152 citations

    2

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  2. YL
    Yong Li

    Tsinghua University, China

    2 publications · 152 citations

    2

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  3. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    2 publications · 239 citations

    2

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  4. FG
    Fosca Giannotti

    University of Pisa, Italy

    2 publications · 239 citations

    2

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  5. JR
    Jinmeng Rao

    University of Wisconsin–Madison, United States

    2 publications · 85 citations

    2

    h-index

1–5 of 117

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 83 citations

    2

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  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  3. AIAA Aviation 2019 Forum

    1 publications · 33 citations

    1

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  4. 1

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  5. IEEE Access

    1 publications · 23 citations

    1

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1–5