Backdoor Removal

Backdoor Removal is a methodological intervention in cybersecurity and machine learning that eliminates covert, unauthorized pathways intentionally embedded in systems or models to enable illicit access or data manipulation.

58

Publications

3.4K

Citations

246

Authors

67

Institutions

Publications per year

2017–2026

55

Authors

246

  1. JW
    Jian Wang

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 78 citations

    3

    h-index

  2. YL
    Yige Li

    Nanjing Agricultural University, China

    3 publications · 187 citations

    3

    h-index

  3. XL
    Xixiang Lyu

    Xidian University, China

    3 publications · 187 citations

    3

    h-index

  4. TL
    Taesung Lee

    Chonnam National University, South Korea

    3 publications · 484 citations

    3

    h-index

  5. NK
    Nodens Koren

    Deakin University, Australia

    3 publications · 187 citations

    3

    h-index

1–5 of 246

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 1.2K citations

    14

    h-index

  2. Computers & Security

    2 publications · 60 citations

    2

    h-index

  3. Annual Computer Security Applications Conference

    Conference · 1 publications · 241 citations

    1

    h-index

  4. Applied Intelligence

    1 publications · 28 citations

    1

    h-index

  5. 1

    h-index

1–5