Automated Detection Systems

Automated Detection Systems is a computational framework designed to identify and flag instances of child exploitation online through algorithmic analysis of digital content, distinguished from other content moderation approaches by its reliance on machine learning models and automated signal generation without requisite human initiation.

360

Publications

15.3K

Citations

1.5K

Authors

615

Institutions

Publications per year

2017–2026

202

Authors

1.5K

  1. GS
    Gianluca Stringhini

    University College London, United Kingdom

    5 publications · 282 citations

    5

    h-index

  2. PA
    Paavo Alku

    Aalto University, Finland

    3 publications · 121 citations

    3

    h-index

  3. PE
    Pedro Eleutério

    Federal Police of Brazil, Brazil

    3 publications · 86 citations

    3

    h-index

  4. MP
    Mateus Polastro

    Federal Police of Brazil, Brazil

    3 publications · 86 citations

    3

    h-index

  5. CP
    Claudia Peersman

    University of Bristol, United Kingdom

    3 publications · 81 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. Journal of Clinical Microbiology

    JCM · 8 publications · 345 citations

    8

    h-index

  2. IEEE Access

    8 publications · 804 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 130 citations

    6

    h-index

  4. Diagnostics

    5 publications · 259 citations

    5

    h-index

  5. Sensors

    5 publications · 309 citations

    5

    h-index

1–5