Secure Multi-party Computation

Secure Multi-Party Computation is a cryptographic protocol that enables multiple distrustful parties to jointly compute a function over their private inputs while revealing nothing beyond the output, ensuring input privacy, correctness, and independence of inputs in a defined adversarial model.

4K

Publications

248.9K

Citations

9.2K

Authors

2K

Institutions

Publications per year

2017–2026

2.5K

Authors

9.2K

  1. YL
    Yehuda Lindell

    Bar-Ilan University, Israel

    43 publications · 4.6K citations

    32

    h-index

  2. RH
    Robert H. Deng

    Singapore Management University, Singapore

    36 publications · 2.6K citations

    26

    h-index

  3. TS
    Thomas Schneider

    Technische Universität Darmstadt, Germany

    41 publications · 3.1K citations

    25

    h-index

  4. XL
    Ximeng Liu

    Fuzhou University, China

    38 publications · 2.2K citations

    25

    h-index

  5. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    36 publications · 1.9K citations

    24

    h-index

1–5 of 9.2K

Venues

  1. arXiv (Cornell University)

    Repository · 175 publications · 7.2K citations

    41

    h-index

  2. IEEE Access

    95 publications · 5.7K citations

    38

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 91 publications · 5.5K citations

    38

    h-index

  4. IEEE Internet of Things Journal

    96 publications · 5K citations

    38

    h-index

  5. 38

    h-index

1–5