Sensitive Data Redaction

Sensitive Data Redaction is a data anonymization technique that systematically removes or obscures personally identifiable and confidential information from textual or digital records to comply with privacy regulations and ethical standards while preserving the utility of the remaining data.

15

Publications

435

Citations

52

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

52

  1. XH
    Xinyi Huang

    Fujian Normal University, China

    3 publications · 65 citations

    3

    h-index

  2. RC
    Richard Chow

    Palo Alto Research Center, United States

    2 publications · 54 citations

    2

    h-index

  3. AS
    Andreas Spitz

    Heidelberg University, Germany

    2 publications · 22 citations

    2

    h-index

  4. JM
    Jinhua Ma

    Fujian Normal University, China

    2 publications · 39 citations

    2

    h-index

  5. DL
    Daniel Lopresti

    Lehigh University, United States

    2 publications · 22 citations

    2

    h-index

1–5 of 52

Venues

  1. 1

    h-index

  2. IEEE Internet of Things Journal

    1 publications · 26 citations

    1

    h-index

  3. IEEE Transactions on Emerging Topics in Computing

    ITETBT · 1 publications · 25 citations

    1

    h-index

  4. IEEE Security & Privacy

    1 publications · 41 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 13 citations

    1

    h-index

1–5