Randomized Proof Systems

Randomized Proof Systems is a class of probabilistic proof verification models in proof complexity that extend classical proof systems by allowing randomized checking of proofs, thereby distinguishing themselves through the use of randomness to achieve possibly more efficient verification with bounded error probability.

51

Publications

6.4K

Citations

103

Authors

64

Institutions

Publications per year

2017–2026

8

Authors

103

  1. UF
    Uriel Feige

    Weizmann Institute of Science, Israel

    7 publications · 1.4K citations

    7

    h-index

  2. RR
    Ran Raz

    Weizmann Institute of Science, Israel

    3 publications · 924 citations

    3

    h-index

  3. CL
    Carsten Lund

    AT&T (United States), United States

    3 publications · 244 citations

    3

    h-index

  4. YT
    Yael Tauman Kalai

    Microsoft (United States), United States

    3 publications · 203 citations

    3

    h-index

  5. LL
    László Lovász

    Eötvös Loránd University, Hungary

    3 publications · 877 citations

    3

    h-index

1–5 of 103

Venues

  1. Journal of Computer and System Sciences

    3 publications · 716 citations

    3

    h-index

  2. Journal of the ACM

    JACM · 3 publications · 1.3K citations

    3

    h-index

  3. IACR Cryptology ePrint Archive

    Repository · 2 publications · 207 citations

    2

    h-index

  4. SIAM Journal on Computing

    2 publications · 773 citations

    2

    h-index

  5. Journal of Symbolic Computation

    1 publications · 210 citations

    1

    h-index

1–5