Fuzz Testing

Fuzz Testing is a software testing technique that involves the automated, systematic input of malformed or unexpected data into a program to discover vulnerabilities, errors, or crashes by monitoring for abnormal behavior, thereby distinguishing it from other testing methods through its reliance on random or semi-random input generation to probe program robustness.

652

Publications

41.2K

Citations

1.8K

Authors

490

Institutions

Publications per year

2017–2026

480

Authors

1.8K

  1. YJ
    Yu Jiang

    Tsinghua University, China

    21 publications · 1.1K citations

    18

    h-index

  2. PG
    Patrice Godefroid

    Microsoft (United States), United States

    17 publications · 3.3K citations

    17

    h-index

  3. YL
    Yang Liu

    Nanyang Technological University, Singapore

    14 publications · 1.4K citations

    13

    h-index

  4. AR
    Abhik Roychoudhury

    National University of Singapore, Singapore

    16 publications · 2.4K citations

    13

    h-index

  5. TH
    Thorsten Holz

    Ruhr University Bochum, Germany

    13 publications · 1.1K citations

    13

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 30 publications · 872 citations

    18

    h-index

  2. 13

    h-index

  3. IEEE Access

    13 publications · 463 citations

    12

    h-index

  4. USENIX Security Symposium

    Conference · 11 publications · 1K citations

    11

    h-index

  5. Proceedings of the ACM on Programming Languages

    PACMPL · 10 publications · 513 citations

    10

    h-index

1–5