Secure Data Collaboration

Secure Data Collaboration is a formal framework within the domain of secure data sharing that enables multiple parties to jointly perform data analysis or machine learning tasks while preserving data confidentiality, integrity, and access control through cryptographic protocols, differential privacy, or trusted execution environments.

50

Publications

2.2K

Citations

201

Authors

95

Institutions

Publications per year

2017–2026

24

Authors

201

  1. QH
    Qinlong Huang

    Beijing University of Posts and Telecommunications, China

    3 publications · 156 citations

    3

    h-index

  2. YC
    Yingying Chen

    Rutgers, The State University of New Jersey, United States

    2 publications · 48 citations

    2

    h-index

  3. IH
    Ian Herwono

    BT Group (United Kingdom), United Kingdom

    2 publications · 118 citations

    2

    h-index

  4. FD
    Francesco Di Cerbo

    Free University of Bozen-Bolzano, Italy

    2 publications · 118 citations

    2

    h-index

  5. XD
    Xin Dong

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 48 citations

    2

    h-index

1–5 of 201

Venues

  1. IEEE Internet of Things Journal

    3 publications · 198 citations

    3

    h-index

  2. IEEE Access

    2 publications · 51 citations

    2

    h-index

  3. Procedia Computer Science

    2 publications · 29 citations

    2

    h-index

  4. Security and Communication Networks

    2 publications · 75 citations

    2

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 185 citations

    2

    h-index

1–5