Patch-based Vulnerability Discovery

Patch-Based Vulnerability Discovery is a software vulnerability discovery method that identifies previously unknown vulnerabilities by analyzingpatches applied to fix software defects, distinguishing it from other methods by its reliance on the semantic and structural changes introduced in corrective updates rather than on static analysis, dynamic testing, or exploit patterns.

37

Publications

1.6K

Citations

137

Authors

61

Institutions

Publications per year

2017–2026

21

Authors

137

  1. YL
    Yang Liu

    Nanyang Technological University, Singapore

    3 publications · 265 citations

    3

    h-index

  2. KS
    Kun Sun

    George Mason University, United States

    3 publications · 147 citations

    3

    h-index

  3. ZX
    Zhengzi Xu

    Nanyang Technological University, Singapore

    3 publications · 265 citations

    3

    h-index

  4. NM
    Naouel Moha

    Université du Québec à Montréal, Canada

    2 publications · 38 citations

    2

    h-index

  5. TF
    Tegawendé F. Bissyandé

    University of Luxembourg, Luxembourg

    2 publications · 38 citations

    2

    h-index

1–5 of 137

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 50 citations

    3

    h-index

  2. IEEE Security & Privacy

    2 publications · 159 citations

    2

    h-index

  3. Empirical Software Engineering

    2 publications · 65 citations

    2

    h-index

  4. Information Economics and Policy

    1 publications · 40 citations

    1

    h-index

  5. IEEE Transactions on Emerging Topics in Computing

    ITETBT · 1 publications · 26 citations

    1

    h-index

1–5