Statistical Security

Statistical Security is a security guarantee in Secure Multi-Party Computation that belongs to the class of indistinguishability-based security notions, distinguished by allowing a negligible deviation in probability between the real and ideal execution distributions, where the adversary’s advantage diminishes independently of the computational power but depends on a statistical parameter.

118

Publications

6.1K

Citations

304

Authors

165

Institutions

Publications per year

2017–2026

31

Authors

304

  1. FY
    Francis Y. L. Chin

    University of Hong Kong, Hong Kong SAR China

    5 publications · 299 citations

    5

    h-index

  2. WL
    Wei Lu

    Sun Yat-sen University, China

    4 publications · 212 citations

    4

    h-index

  3. DE
    Dorothy E. Denning

    Georgetown University, United States

    3 publications · 264 citations

    3

    h-index

  4. JH
    Jiwu Huang

    Sun Yat-sen University, China

    3 publications · 159 citations

    3

    h-index

  5. EK
    Eyal Kushilevitz

    Technion – Israel Institute of Technology, Israel

    3 publications · 203 citations

    3

    h-index

1–5 of 304

Venues

  1. ACM Transactions on Database Systems

    TODS · 9 publications · 841 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 51 citations

    4

    h-index

  3. IEEE Transactions on Information Theory

    4 publications · 240 citations

    4

    h-index

  4. Journal of Cryptology

    4 publications · 165 citations

    4

    h-index

  5. SIAM Journal on Computing

    4 publications · 294 citations

    4

    h-index

1–5