Pseudonymization Threats

Pseudonymization Threats is a privacy threat model construct that identifies and characterizes risks arising from the potential re-identification of individuals through the linkage, inference, or compromise of pseudonymized data, despite the removal or substitution of direct identifiers.

21

Publications

5.6K

Citations

51

Authors

23

Institutions

Publications per year

2017–2026

6

Authors

51

  1. PG
    Philippe Golle

    Palo Alto Research Center, United States

    1 publications · 257 citations

    1

    h-index

  2. YF
    Yuguang Fang

    University of Florida, United States

    1 publications · 124 citations

    1

    h-index

  3. CP
    Calton Pu

    Georgia Institute of Technology, United States

    1 publications · 105 citations

    1

    h-index

  4. MR
    Mark Ryan

    University of Birmingham, United Kingdom

    1 publications · 59 citations

    1

    h-index

  5. MB
    Michael Backes

    Saarland University, Germany

    1 publications · 22 citations

    1

    h-index

1–5 of 51

Venues

  1. BMC Medical Informatics and Decision Making

    1 publications · 29 citations

    1

    h-index

  2. Communications of the ACM

    1 publications · 4.3K citations

    1

    h-index

  3. IEEE Access

    1 publications · 52 citations

    1

    h-index

  4. Human Organization

    1 publications · 12 citations

    1

    h-index

  5. Multimedia Tools and Applications

    1 publications · 66 citations

    1

    h-index

1–5