Memory Corruption Detection

Memory Corruption Detection is a software analysis technique that identifies unintended alterations in a program's memory state caused by vulnerabilities such as buffer overflows, use-after-free, or heap corruption, distinguishing it from general error detection by specifically targeting unsafe memory access patterns that compromise program integrity and security.

80

Publications

4.1K

Citations

203

Authors

74

Institutions

Publications per year

2017–2026

21

Authors

203

  1. ED
    Emery D. Berger

    University of Massachusetts Amherst, United States

    5 publications · 288 citations

    5

    h-index

  2. BG
    Benjamin G. Zorn

    Microsoft (United States), United States

    4 publications · 442 citations

    4

    h-index

  3. RS
    R. Sekar

    Stony Brook University, United States

    3 publications · 273 citations

    3

    h-index

  4. AA
    Artur Andrzejak

    Heidelberg University, Germany

    3 publications · 45 citations

    3

    h-index

  5. FQ
    Feng Qin

    China Agricultural University, China

    3 publications · 366 citations

    3

    h-index

1–5 of 203

Venues

  1. ACM SIGPLAN Notices

    4 publications · 206 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  3. ACM SIGOPS Operating Systems Review

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5