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

Publications

12.6K

Citations

456

Authors

184

Institutions

Publications per year

2017–2026

77

Authors

456

  1. KE
    Khaled El Emam

    University of Ottawa, Canada

    5 publications · 559 citations

    5

    h-index

  2. BM
    Bradley Malin

    Vanderbilt University, United States

    5 publications · 510 citations

    5

    h-index

  3. SX
    Suncheng Xiang

    Shanghai Jiao Tong University, China

    4 publications · 109 citations

    4

    h-index

  4. YF
    Yuzhuo Fu

    Shanghai Jiao Tong University, China

    4 publications · 109 citations

    4

    h-index

  5. GY
    Guanjie You

    Shanghai Jiao Tong University, China

    4 publications · 109 citations

    4

    h-index

1–5 of 456

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 366 citations

    10

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 5 publications · 811 citations

    5

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 770 citations

    4

    h-index

  4. Pattern Recognition

    3 publications · 155 citations

    3

    h-index

  5. 2

    h-index

1–5