Ring Learning With Errors

Ring Learning with Errors is a computational lattice-based cryptographic problem that, as an extension of the Learning with Errors framework, operates over polynomial rings to enable efficient post-quantum cryptosystems with strong security guarantees based on the hardness of approximating short vectors in structured lattices.

75

Publications

6.4K

Citations

225

Authors

125

Institutions

Publications per year

2017–2026

55

Authors

225

  1. JX
    Jiafeng Xie

    Villanova University, United States

    6 publications · 165 citations

    6

    h-index

  2. PH
    Pengzhou He

    Villanova University, United States

    6 publications · 165 citations

    6

    h-index

  3. VV
    Vinod Vaikuntanathan

    Massachusetts Institute of Technology, United States

    5 publications · 2.2K citations

    5

    h-index

  4. WL
    Weiqiang Liu

    Nanjing University of Aeronautics and Astronautics, China

    4 publications · 82 citations

    4

    h-index

  5. KL
    Kristin Lauter

    Microsoft (United States), United States

    3 publications · 67 citations

    3

    h-index

1–5 of 225

Venues

  1. IEEE Access

    7 publications · 172 citations

    7

    h-index

  2. IACR Cryptology ePrint Archive

    Repository · 5 publications · 672 citations

    5

    h-index

  3. IEEE Internet of Things Journal

    4 publications · 195 citations

    4

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5