Mobility Data Privacy

Mobility Data Privacy is a privacy-preserving framework that specifically governs the protection of personally identifiable information derived from spatiotemporal movement patterns by mitigating the risk of re-identification inherent in mobility datasets.

98

Publications

6.8K

Citations

364

Authors

197

Institutions

Publications per year

2017–2026

58

Authors

364

  1. YL
    Yong Li

    Tsinghua University, China

    5 publications · 375 citations

    5

    h-index

  2. DJ
    Depeng Jin

    Tsinghua University, China

    4 publications · 330 citations

    4

    h-index

  3. AM
    Anna Monreale

    University of Pisa, Italy

    4 publications · 129 citations

    4

    h-index

  4. DP
    Dino Pedreschi

    University of Pisa, Italy

    4 publications · 148 citations

    4

    h-index

  5. ZT
    Zhen Tu

    Tsinghua University, China

    3 publications · 271 citations

    3

    h-index

1–5 of 364

Venues

  1. Proceedings on Privacy Enhancing Technologies

    PoPETs · 4 publications · 184 citations

    4

    h-index

  2. 3

    h-index

  3. EPJ Data Science

    3 publications · 743 citations

    3

    h-index

  4. Expert Systems with Applications

    2 publications · 86 citations

    2

    h-index

  5. Scientific Reports

    2 publications · 1.6K citations

    2

    h-index

1–5