Fuzzy Extractors

Fuzzy Extractor is a cryptographic primitive that belongs to the class of authentication mechanisms, specifically designed to reliably reproduce a uniformly random secret key from noisy biometric inputs while providing robustness against variations within a defined tolerance threshold.

111

Publications

6.8K

Citations

326

Authors

159

Institutions

Publications per year

2017–2026

55

Authors

326

  1. AK
    Ashok Kumar Das

    International Institute of Information Technology, Hyderabad, India

    7 publications · 753 citations

    7

    h-index

  2. LR
    Leonid Reyzin

    Boston University, United States

    6 publications · 1.9K citations

    6

    h-index

  3. AS
    Adam Smith

    Pennsylvania State University, United States

    6 publications · 2.1K citations

    6

    h-index

  4. RV
    Raymond Veldhuis

    University of Twente, Netherlands

    6 publications · 315 citations

    6

    h-index

  5. YD
    Yevgeniy Dodis

    New York University, United States

    5 publications · 2K citations

    5

    h-index

1–5 of 326

Venues

  1. IEEE Access

    7 publications · 284 citations

    7

    h-index

  2. 7

    h-index

  3. IEEE Internet of Things Journal

    5 publications · 333 citations

    5

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 4 publications · 343 citations

    4

    h-index

  5. Security and Communication Networks

    4 publications · 65 citations

    4

    h-index

1–5