Enclave-based Data Sharing

Enclave-Based Data Sharing is a secure data sharing framework that enables controlled access and processing of sensitive data within isolated computational environments, known as enclaves, to ensure data confidentiality and integrity during exchange.

17

Publications

652

Citations

48

Authors

18

Institutions

Publications per year

2017–2026

13

Authors

48

  1. ZZ
    Zhiting Zhu

    The University of Texas at Austin, United States

    3 publications · 299 citations

    3

    h-index

  2. MZ
    Matei Zaharia

    Stanford University, United States

    3 publications · 145 citations

    3

    h-index

  3. SP
    Simon Peter

    The University of Texas at Austin, United States

    3 publications · 299 citations

    3

    h-index

  4. YX
    Yuanzhong Xu

    Google (United States), United States

    3 publications · 299 citations

    3

    h-index

  5. EW
    Emmett Witchel

    The University of Texas at Austin, United States

    3 publications · 299 citations

    3

    h-index

1–5 of 48

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 131 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 27 citations

    2

    h-index

  3. International Journal of Digital Curation

    IJDC · 1 publications · 11 citations

    1

    h-index

  4. ACM Transactions on Computer Systems

    TOCS · 1 publications · 112 citations

    1

    h-index

  5. 1

    h-index

1–5