Data Swapping
Data Swapping is a data de-identification technique that pertains to the systematic rearrangement of sensitive attribute values across records within a dataset to preserve statistical utility while preventing the re-identification of individuals.
28
Publications
1.7K
Citations
63
Authors
35
Institutions
Publications per year
2017–2026
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University of Helsinki
Helsinki, Finland
2 h-index
5 publications
443 citations
Brown University
Providence, United States
2 h-index
3 publications
814 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
224 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
3 publications
57 citations
Naval Dockyards Society
Kent, United States
1 h-index
1 publications
41 citations
Intel (United States)
Santa Clara, United States
1 h-index
4 publications
40 citations
Palo Alto Research Center
Palo Alto, United States
1 h-index
1 publications
219 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
3 publications
57 citations
1–8 of 35
1 publications · 13 citations
1
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1 publications · 19 citations
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1 publications · 132 citations
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JSS · 1 publications · 11 citations
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1 publications · 24 citations
1
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