Anonymization Vulnerability Analysis

Anonymization Vulnerability Analysis is a systematic method for identifying, assessing, and characterizing potential re-identification risks and weaknesses in anonymized datasets resulting from specific attack vectors, data properties, or procedural inadequacies.

7

Publications

366

Citations

28

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

28

  1. RB
    Raheem Beyah

    Georgia Institute of Technology, United States

    2 publications · 131 citations

    2

    h-index

  2. PM
    Prateek Mittal

    Princeton University, United States

    2 publications · 131 citations

    2

    h-index

  3. SJ
    Shouling Ji

    Zhejiang University, China

    2 publications · 131 citations

    2

    h-index

  4. WL
    Weiqing Li

    Nanjing University of Science and Technology, China

    2 publications · 131 citations

    2

    h-index

  5. XH
    Xin Hu

    Wuhan University, China

    1 publications · 100 citations

    1

    h-index

1–5 of 28

Venues

  1. 1

    h-index

  2. Procedia Computer Science

    1 publications · 11 citations

    1

    h-index

  3. IEEE Access

    1 publications · 10 citations

1–3