Randomness Extraction

Randomness Extraction is a deterministic algorithm in symmetric-key cryptography that belongs to the class of randomness processing techniques, distinguished by its ability to transform a weakly random source with partial unpredictability into a uniformly distributed output sequence suitable for cryptographic applications such as stream cipher initialization.

278

Publications

16.7K

Citations

694

Authors

314

Institutions

Publications per year

2017–2026

87

Authors

694

  1. SV
    Salil Vadhan

    Harvard University Press, United States

    11 publications · 1.2K citations

    11

    h-index

  2. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    8 publications · 565 citations

    8

    h-index

  3. RS
    Ronen Shaltiel

    University of Haifa, Israel

    7 publications · 423 citations

    7

    h-index

  4. DZ
    David Zuckerman

    The University of Texas at Austin, United States

    7 publications · 907 citations

    7

    h-index

  5. ZD
    Zeev Dvir

    Princeton University, United States

    6 publications · 273 citations

    6

    h-index

1–5 of 694

Venues

  1. Physical Review A

    PRA · 7 publications · 493 citations

    7

    h-index

  2. SIAM Journal on Computing

    7 publications · 2.2K citations

    7

    h-index

  3. IEEE Transactions on Information Theory

    7 publications · 484 citations

    7

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 123 citations

    6

    h-index

  5. Physical Review Letters

    PRL · 6 publications · 362 citations

    6

    h-index

1–5