Vernacular Remote Control: Adversarial Robustness Testing of Six Commercial AI Text Detectors on Provenance-Guaranteed Pre-AI Prose

James Guppenberger

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DOI: 10.21203/rs.3.rs-9596240/v1
Published: 2026-06-12
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9596240/v1,
  title = {Vernacular Remote Control: Adversarial Robustness Testing of Six Commercial AI Text Detectors on Provenance-Guaranteed Pre-AI Prose},
  author = {James Guppenberger},
  year = {2026},
  doi = {10.21203/rs.3.rs-9596240/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9596240/v1}
}

RIS

TY  - JOUR
TI  - Vernacular Remote Control: Adversarial Robustness Testing of Six Commercial AI Text Detectors on Provenance-Guaranteed Pre-AI Prose
AU  - James Guppenberger
PY  - 2026
DO  - 10.21203/rs.3.rs-9596240/v1
UR  - https://doi.org/10.21203/rs.3.rs-9596240/v1
ER  -

APA

Guppenberger, J. (2026). Vernacular Remote Control: Adversarial Robustness Testing of Six Commercial AI Text Detectors on Provenance-Guaranteed Pre-AI Prose. https://doi.org/10.21203/rs.3.rs-9596240/v1

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crossref · retrieved 2026-09-25T13:56:29.436Z