Dataset Re-identification
Dataset Re-Identification is a methodological framework within the domain of data privacy that enables the linkage of anonymized records in a dataset to their original identities by exploiting residual identifying patterns or auxiliary information.
122
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12.6K
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456
Authors
184
Institutions
Publications per year
2017–2026
77
Parents
122
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
Pose-Guided Feature Alignment for Occluded Person Re-Identification
Jiaxu Miao, Yu Wu, Ping Liu et al. · 2019 · 642 citations · Full text
Resisting structural re-identification in anonymized social networks
Michael Hay, Gerome Miklau, David Jensen et al. · Proceedings of the VLDB Endowment · 2008 · 544 citations · Full text
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Northeastern University
Boston, United States
5 h-index
13 publications
1K citations

University of Ottawa
Ottawa, Canada
5 h-index
5 publications
559 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
19 publications
529 citations

National University of Defense Technology
Changsha, China
4 h-index
4 publications
162 citations
Queen Mary University of London
London, United Kingdom
4 h-index
4 publications
333 citations
Technical University of Munich
Munich, Germany
4 h-index
8 publications
517 citations
Peng Cheng Laboratory
Shenzhen, China
4 h-index
5 publications
712 citations
Tencent (China)
Shenzhen, China
3 h-index
12 publications
2.6K citations
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Repository · 10 publications · 366 citations
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JAMIA · 5 publications · 811 citations
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Conference · 4 publications · 770 citations
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3 publications · 155 citations
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2 publications · 124 citations
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