Input Fuzzing

Input Fuzzing is a dynamic application security testing technique that involves systematically supplying malformed, unexpected, or randomized input data to an application to discover input validation vulnerabilities by observing its behavior under invalid or edge-case conditions.

59

Publications

5.4K

Citations

206

Authors

87

Institutions

Publications per year

2017–2026

47

Authors

206

  1. CS
    Chunqiu Steven Xia

    University of Illinois Urbana-Champaign, United States

    4 publications · 447 citations

    4

    h-index

  2. AZ
    Andreas Zeller

    Saarland University, Germany

    3 publications · 294 citations

    3

    h-index

  3. LZ
    Lingming Zhang

    University of Illinois Urbana-Champaign, United States

    3 publications · 184 citations

    3

    h-index

  4. YJ
    Yu Jiang

    Tsinghua University, China

    3 publications · 115 citations

    3

    h-index

  5. GG
    Guofei Gu

    Texas A&M University, United States

    2 publications · 423 citations

    2

    h-index

1–5 of 206

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 134 citations

    5

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 2 publications · 86 citations

    2

    h-index

  3. 1

    h-index

  4. Nutrition Today

    1 publications · 21 citations

    1

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 1 publications · 22 citations

    1

    h-index

1–5