The adversarial game between detection and evasion: A survey of anti-detection techniques for machine-generated texts

Deyu Meng, Tad Gonsalves

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DOI: 10.1016/j.neunet.2026.109562
Published: 2027-01
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109562,
  title = {The adversarial game between detection and evasion: A survey of anti-detection techniques for machine-generated texts},
  author = {Deyu Meng and Tad Gonsalves},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109562},
  url = {https://doi.org/10.1016/j.neunet.2026.109562}
}

RIS

TY  - JOUR
TI  - The adversarial game between detection and evasion: A survey of anti-detection techniques for machine-generated texts
AU  - Deyu Meng
AU  - Tad Gonsalves
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109562
UR  - https://doi.org/10.1016/j.neunet.2026.109562
ER  -

APA

Meng, D., & Gonsalves, T. (2027). The adversarial game between detection and evasion: A survey of anti-detection techniques for machine-generated texts. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109562

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crossref · retrieved 2026-09-26T04:27:11.372Z