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
Parents
98
Unique in the Crowd: The privacy bounds of human mobility
Yves-Alexandre de Montjoye, César A. Hidalgo, Michel Verleysen et al. · Scientific Reports · 2013 · 1.6K citations · Full text
A survey of results on mobile phone datasets analysis
Vincent D. Blondel, Adeline Decuyper, Gautier Krings · EPJ Data Science · 2015 · 650 citations · Full text
Xi He, Graham Cormode, Ashwin Machanavajjhala et al. · Proceedings of the VLDB Endowment · 2015 · 225 citations
Computing, Geoinformatics, Geographic Information Systems +16
Jie Feng, Can Rong, Funing Sun et al. · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2020 · 154 citations
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197
Tsinghua University
Beijing, China
7 h-index
28 publications
1.9K citations
University College London
London, United Kingdom
6 h-index
7 publications
459 citations
Stanford University
Stanford, United States
6 h-index
6 publications
511 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
4 h-index
9 publications
288 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
9 publications
770 citations

University of Pisa
Pisa, Italy
4 h-index
10 publications
304 citations
UCLouvain
Louvain-la-Neuve, Belgium
3 h-index
8 publications
6.8K citations
IBM Research - Zurich
Rüschlikon, Switzerland
3 h-index
4 publications
74 citations
1–8 of 197
PoPETs · 4 publications · 184 citations
4
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3 publications · 113 citations
3
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3 publications · 743 citations
3
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2 publications · 86 citations
2
h-index
2 publications · 1.6K citations
2
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