Microdata Anonymization

Microdata Anonymization is a data protection technique that belongs to the class of privacy-preserving methods by specifically transforming individual-level data records to prevent the identification of natural persons while preserving the analytical utility of the dataset.

347

Publications

41.9K

Citations

801

Authors

353

Institutions

Publications per year

2017–2026

97

Authors

801

  1. JD
    Josep Domingo‐Ferrer

    Universitat Rovira i Virgili, Spain

    12 publications · 407 citations

    11

    h-index

  2. HW
    Hua Wang

    Victoria University, Australia

    10 publications · 343 citations

    10

    h-index

  3. JP
    Jerome P. Reiter

    Duke University, United States

    8 publications · 856 citations

    8

    h-index

  4. XX
    Xiaokui Xiao

    Nanyang Technological University, Singapore

    7 publications · 2K citations

    7

    h-index

  5. JP
    Jian Pei

    Simon Fraser University, Canada

    7 publications · 2.2K citations

    7

    h-index

1–5 of 801

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 14 publications · 3.8K citations

    14

    h-index

  2. Information Sciences

    8 publications · 385 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 351 citations

    6

    h-index

  4. IEEE Access

    5 publications · 216 citations

    5

    h-index

  5. 5

    h-index

1–5