Trusted Curator Model

Trusted Curator Model is a privacy-preserving data management framework in which a trusted central authority collects raw sensitive data from individuals, applies differential privacy mechanisms to query responses, and ensures that only privacy-preserving outputs are released to external analysts.

11

Publications

1.1K

Citations

22

Authors

14

Institutions

Publications per year

2017–2026

8

Authors

22

  1. GN
    Guy N. Rothblum

    Weizmann Institute of Science, Israel

    2 publications · 929 citations

    2

    h-index

  2. KN
    Kobbi Nissim

    Ben-Gurion University of the Negev, Israel

    2 publications · 57 citations

    2

    h-index

  3. US
    Uri Stemmer

    Ben-Gurion University of the Negev, Israel

    2 publications · 57 citations

    2

    h-index

  4. AD
    Anindya De

    University of California, Berkeley, United States

    1 publications · 11 citations

    1

    h-index

  5. DZ
    David Zeber

    Cornell University, United States

    1 publications · 49 citations

    1

    h-index

1–5 of 22

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 98 citations

    4

    h-index

  2. International Journal of Intelligent Systems

    1 publications · 21 citations

    1

    h-index

  3. Journal of Privacy and Confidentiality

    JPC · 1 publications · 20 citations

    1

    h-index

  4. Proceedings on Privacy Enhancing Technologies

    PoPETs · 1 publications · 20 citations

    1

    h-index

  5. Algorithmic Learning Theory

    Conference · 1 publications · 30 citations

    1

    h-index

1–5