Coverage-guided Fuzzing

Coverage-Guided Fuzzing is a fuzz testing method that systematically generates test inputs by iteratively mutating existing inputs and prioritizing those that increase code coverage, thereby enhancing the discovery of software vulnerabilities through directed exploration of program execution paths.

178

Publications

13.6K

Citations

593

Authors

198

Institutions

Publications per year

2017–2026

161

Authors

593

  1. YJ
    Yu Jiang

    Tsinghua University, China

    9 publications · 592 citations

    9

    h-index

  2. YL
    Yang Liu

    Nanyang Technological University, Singapore

    9 publications · 1.1K citations

    9

    h-index

  3. XX
    Xiaofei Xie

    Nanyang Technological University, Singapore

    7 publications · 832 citations

    7

    h-index

  4. RP
    Rohan Padhye

    University of California, Berkeley, United States

    7 publications · 377 citations

    7

    h-index

  5. KS
    Koushik Sen

    University of California, Berkeley, United States

    6 publications · 355 citations

    6

    h-index

1–5 of 593

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 474 citations

    11

    h-index

  2. 7

    h-index

  3. ACM Transactions on Software Engineering and Methodology

    TOSEM · 4 publications · 134 citations

    4

    h-index

  4. Proceedings of the ACM on Programming Languages

    PACMPL · 4 publications · 175 citations

    4

    h-index

  5. 4

    h-index

1–5