Anonymization Algorithms

Anonymization Algorithms is a computational method that belongs to the class of data privacy techniques by transforming personal or sensitive data in such a way that individuals cannot be readily identified, thereby enabling data utility while safeguarding privacy.

693

Publications

48.2K

Citations

1.7K

Authors

654

Institutions

Publications per year

2017–2026

235

Variants

Anonymization Algorithm

Authors

1.7K

  1. GL
    Grigorios Loukides

    Cardiff University, United Kingdom

    13 publications · 452 citations

    13

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    13 publications · 1.3K citations

    12

    h-index

  3. AG
    Aris Gkoulalas-Divanis

    IBM (United States), United States

    12 publications · 399 citations

    12

    h-index

  4. TT
    Tamir Tassa

    Open University of Israel, Israel

    11 publications · 809 citations

    11

    h-index

  5. JP
    Jian Pei

    Simon Fraser University, Canada

    10 publications · 2.4K citations

    10

    h-index

1–5 of 1.7K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 27 publications · 1.9K citations

    23

    h-index

  2. arXiv (Cornell University)

    Repository · 19 publications · 604 citations

    14

    h-index

  3. IEEE Access

    16 publications · 1K citations

    14

    h-index

  4. Knowledge and Information Systems

    11 publications · 557 citations

    11

    h-index

  5. Procedia Computer Science

    9 publications · 153 citations

    9

    h-index

1–5