Stateful Fuzzing

Stateful Fuzzing is a fuzz testing methodology that systematically generates and mutates input sequences to explore program states over multiple interactions, distinguishing itself from stateless approaches by maintaining and leveraging execution context across inputs to uncover deep-path vulnerabilities in state-dependent software systems.

38

Publications

1.9K

Citations

142

Authors

53

Institutions

Publications per year

2017–2026

32

Authors

142

  1. XZ
    Xu Zhou

    National University of Defense Technology, China

    3 publications · 71 citations

    3

    h-index

  2. MP
    Marina Polishchuk

    Microsoft (United States), United States

    3 publications · 286 citations

    3

    h-index

  3. PG
    Patrice Godefroid

    Microsoft (United States), United States

    3 publications · 286 citations

    3

    h-index

  4. VA
    Vaggelis Atlidakis

    Columbia University, United States

    2 publications · 234 citations

    2

    h-index

  5. HZ
    Hangwei Zhang

    National University of Defense Technology, China

    2 publications · 36 citations

    2

    h-index

1–5 of 142

Venues

  1. IEEE Access

    3 publications · 79 citations

    3

    h-index

  2. Applied Sciences

    3 publications · 48 citations

    3

    h-index

  3. 2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

  5. IEEE Transactions on Network and Service Management

    TNSM · 1 publications · 20 citations

    1

    h-index

1–5