Mutation-based Fuzzing

Mutation-Based Fuzzing is a fuzz testing technique that generates test inputs by applying incremental, random modifications to existing valid inputs, thereby exploring new program behaviors while preserving syntactic structure.

115

Publications

6.8K

Citations

394

Authors

149

Institutions

Publications per year

2017–2026

95

Variants

Mutation-based Fuzz Testing

Authors

394

  1. YJ
    Yu Jiang

    Tsinghua University, China

    6 publications · 498 citations

    6

    h-index

  2. LZ
    Lingming Zhang

    University of Illinois Urbana-Champaign, United States

    5 publications · 304 citations

    5

    h-index

  3. YL
    Yang Liu

    Nanyang Technological University, Singapore

    5 publications · 874 citations

    5

    h-index

  4. JS
    Jiaguang Sun

    Tsinghua University, China

    4 publications · 428 citations

    4

    h-index

  5. RP
    Rohan Padhye

    University of California, Berkeley, United States

    4 publications · 217 citations

    4

    h-index

1–5 of 394

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 257 citations

    9

    h-index

  2. 5

    h-index

  3. Proceedings of the ACM on Programming Languages

    PACMPL · 3 publications · 93 citations

    3

    h-index

  4. IEEE Access

    3 publications · 100 citations

    3

    h-index

  5. Computers & Security

    2 publications · 59 citations

    2

    h-index

1–5