Granular Privacy Controls

Granular Privacy Controls is a privacy management framework that enables users to exercise fine-grained, attribute-level customization over the collection, use, and sharing of their personal data, distinguishing it from coarse or binary control mechanisms by offering precise, context-specific configurability.

9

Publications

521

Citations

28

Authors

16

Institutions

Publications per year

2017–2026

1

Authors

28

  1. CM
    Catherine M. DesRoches

    Harvard University, United States

    1 publications · 39 citations

    1

    h-index

  2. JL
    Jennifer L. Wolff

    Johns Hopkins University, United States

    1 publications · 39 citations

    1

    h-index

  3. SV
    Srikanth V. Krishnamurthy

    University of California, Riverside, United States

    1 publications · 11 citations

    1

    h-index

  4. RH
    R. Hanania

    Indiana University Bloomington, United States

    1 publications · 290 citations

    1

    h-index

  5. DW
    Dawei Wang

    Sun Yat-sen University, China

    1 publications · 30 citations

    1

    h-index

1–5 of 28

Venues

  1. Brooklyn law review

    1 publications · 12 citations

    1

    h-index

  2. IEEE Security & Privacy

    1 publications · 11 citations

    1

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 290 citations

    1

    h-index

  4. Information Systems Research

    ISR · 1 publications · 96 citations

    1

    h-index

  5. JMIR Aging

    1 publications · 39 citations

    1

    h-index

1–5