Functional Bootstrapping

Functional Bootstrapping is a homomorphic encryption technique that belongs to the class of bootstrapping methods, distinguished by its ability to simultaneously evaluate a function on encrypted data and refresh the ciphertext to reduce noise, thereby enabling arbitrary computations on encrypted data without decryption.

14

Publications

792

Citations

29

Authors

17

Institutions

Publications per year

2017–2026

5

Authors

29

  1. WL
    Wei Liu

    The University of Western Australia, Australia

    1 publications · 117 citations

    1

    h-index

  2. HL
    Han Lin Shang

    Australian National University, Australia

    1 publications · 58 citations

    1

    h-index

  3. JD
    Jan-Pieter D’Anvers

    KU Leuven, Belgium

    1 publications · 30 citations

    1

    h-index

  4. CC
    Chung Chang

    National Sun Yat-sen University, Taiwan

    1 publications · 11 citations

    1

    h-index

  5. PD
    Paul Deheuvels

    Sorbonne Université, France

    1 publications · 37 citations

    1

    h-index

1–5 of 29

Venues

  1. 2

    h-index

  2. Mind & Language

    1 publications · 108 citations

    1

    h-index

  3. Journal of Multivariate Analysis

    1 publications · 11 citations

    1

    h-index

  4. Czech Digital Mathematics Library (Institute of Mathematics CAS)

    Repository · 1 publications · 37 citations

    1

    h-index

  5. Journal of Statistical Planning and Inference

    1 publications · 39 citations

    1

    h-index

1–5