The influence of the characteristics of the training set on the correctness of detection of deepfake images by the ResNetSECBAM model

Вплив характеристик навчального набору на коректність виявлення дипфейкових зображень моделлю ResNetSECBAM

ITSec-2026

1
Dmytro Azarny
Kyiv National University Taras Shevchenko
2
Anatoly Davydenko
State University of Information and Communication Technologies
3
Olena Vysotska
State University «Kyiv Aviation Institute»
Handle 17.itsec/article.2026cb3
Conference ITSec-2026
Article PDF p. 111
Proceedings Proceedings of ITSec-2026 (PDF) ↗

Cite

Azarny, D., Davydenko, A., Vysotska, O. (2026). The influence of the characteristics of the training set on the correctness of detection of deepfake images by the ResNetSECBAM model. ITSec-2026. 17.itsec/article.2026cb3

@inproceedings{itsec2026_cb3,
  author    = {Azarny, D. and Davydenko, A. and Vysotska, O.},
  title     = {The influence of the characteristics of the training set on the correctness of detection of deepfake images by the ResNetSECBAM model},
  booktitle = {ITSec-2026},
  year      = {2026},
  note      = {17.itsec/article.2026cb3}
}
Suggest an edit

Suggest an edit

Spotted a mistake or want to update some information? Fill in the form below. All submissions go through moderation.

Current value
Вплив характеристик навчального набору на коректність виявлення дипфейкових зображень моделлю ResNetSECBAM
Proposed value
Current value
The influence of the characteristics of the training set on the correctness of detection of deepfake images by the ResNetSECBAM model
Proposed value
Current value
— (not set)
Proposed value
Current value
— (not set)
Proposed value
Current value
— (not set)
Proposed value
Current value
— (not set)
Proposed value
Explain the changes, or include information not covered by the form.