Anonymization Risk

Anonymization Risk is a privacy risk metric that quantifies the likelihood of re-identifying individuals in a dataset after anonymization techniques have been applied, distinguishing it from other privacy risks by focusing specifically on the residual identifiability inherent in anonymized data.

150

Publications

10.1K

Citations

408

Authors

213

Institutions

Publications per year

2017–2026

49

Authors

408

  1. JD
    Josep Domingo‐Ferrer

    Universitat Rovira i Virgili, Spain

    5 publications · 155 citations

    5

    h-index

  2. JQ
    Jianwei Qian

    Illinois Institute of Technology, United States

    3 publications · 266 citations

    3

    h-index

  3. XL
    Xiang‐Yang Li

    Illinois Institute of Technology, United States

    3 publications · 266 citations

    3

    h-index

  4. KE
    Khaled El Emam

    University of Ottawa, Canada

    3 publications · 419 citations

    3

    h-index

  5. JB
    Jelke Bethlehem

    Centraal Bureau voor de Statistiek, Netherlands

    3 publications · 266 citations

    3

    h-index

1–5 of 408

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 1.2K citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 150 citations

    4

    h-index

  3. Journal of Official Statistics

    JOS · 2 publications · 29 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 44 citations

    2

    h-index

  5. 2015 IEEE Trustcom/BigDataSE/ISPA

    Conference · 2 publications · 22 citations

    2

    h-index

1–5