Noise Addition

Noise Addition is a data perturbation technique within the class of data anonymization methods that introduces random or pseudo-random variations into a dataset to obscure individual data points, thereby preventing re-identification while preserving overall statistical properties.

234

Publications

10.3K

Citations

726

Authors

380

Institutions

Publications per year

2017–2026

77

Authors

726

  1. MZ
    Mazdak Zamani

    University of Technology Malaysia, Malaysia

    6 publications · 194 citations

    6

    h-index

  2. RA
    Rabiah Ahmad

    University of Technology Malaysia, Malaysia

    6 publications · 194 citations

    6

    h-index

  3. AM
    Akram M. Zeki

    International Islamic University Malaysia, Malaysia

    5 publications · 177 citations

    5

    h-index

  4. LB
    Ljiljana Branković

    University of Newcastle Australia, Australia

    4 publications · 161 citations

    4

    h-index

  5. MZ
    Md Zahidul Islam

    Charles Sturt University, Australia

    4 publications · 158 citations

    4

    h-index

1–5 of 726

Venues

  1. 9

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 370 citations

    8

    h-index

  3. IEEE Transactions on Multimedia

    3 publications · 115 citations

    3

    h-index

  4. Journal of Chemometrics

    3 publications · 87 citations

    3

    h-index

  5. Journal of Privacy and Confidentiality

    JPC · 3 publications · 96 citations

    3

    h-index

1–5