Hybrid Fuzzing

Hybrid Fuzzing is a fuzz testing methodology that integrates both dynamic and static analysis techniques to enhance input generation and path exploration by leveraging the complementary strengths of each approach.

23

Publications

1.3K

Citations

84

Authors

47

Institutions

Publications per year

2017–2026

22

Authors

84

  1. BL
    Byoungyoung Lee

    Seoul National University, South Korea

    2 publications · 123 citations

    2

    h-index

  2. RS
    Radu State

    University of Luxembourg, Luxembourg

    2 publications · 157 citations

    2

    h-index

  3. AG
    Arthur Gervais

    Imperial College London, United Kingdom

    2 publications · 157 citations

    2

    h-index

  4. YJ
    Yeongjin Jang

    Georgia Institute of Technology, United States

    2 publications · 373 citations

    2

    h-index

  5. CF
    Christof Ferreira Torres

    University of Luxembourg, Luxembourg

    2 publications · 157 citations

    2

    h-index

1–5 of 84

Venues

  1. USENIX Security Symposium

    Conference · 1 publications · 272 citations

    1

    h-index

  2. Computers & Security

    1 publications · 12 citations

    1

    h-index

  3. Proceedings of the ACM on Programming Languages

    PACMPL · 1 publications · 28 citations

    1

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 42 citations

    1

    h-index

  5. 2022 IEEE Symposium on Security and Privacy (SP)

    Conference · 1 publications · 22 citations

    1

    h-index

1–5