Obfuscation Detection

Obfuscation Detection is a computational method in the field of authorship attribution that identifies intentional alterations in source code or textual artifacts designed to conceal linguistic or stylistic features indicative of authorship.

58

Publications

4.1K

Citations

202

Authors

82

Institutions

Publications per year

2017–2026

34

Authors

202

  1. CK
    Christopher Kruegel

    University of California, Santa Barbara, United States

    3 publications · 1K citations

    3

    h-index

  2. BS
    Benno Stein

    Bauhaus-Universität Weimar, Germany

    3 publications · 87 citations

    3

    h-index

  3. MH
    Matthias Hagen

    Bauhaus-Universität Weimar, Germany

    3 publications · 87 citations

    3

    h-index

  4. MP
    Martin Potthast

    Bauhaus-Universität Weimar, Germany

    3 publications · 87 citations

    3

    h-index

  5. BT
    Bernhard Tellenbach

    ZHAW Zurich University of Applied Sciences, Switzerland

    2 publications · 26 citations

    2

    h-index

1–5 of 202

Venues

  1. CLEF (Working Notes)

    3 publications · 87 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 49 citations

    2

    h-index

  3. Journal of Information Security and Applications

    JISA · 2 publications · 37 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Electronic Imaging

    1 publications · 19 citations

    1

    h-index

1–5