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arXiv · 2511.19187

SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection

Nithira Jayarathne·Naveen Basnayake·Keshawa Jayasundara·Pasindu Dodampegama·Praveen Wijesinghe·Hirushika Pelagewatta·Kavishka Abeywardana·Sandushan Ranaweera·Chamira Edussooriya
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Abstract

Detecting deepfake images is crucial in combating misinformation. We present a lightweight, generalizable binary classification model based on EfficientNet-B6, fine-tuned with transformation techniques to address severe class imbalances. By leveraging robust preprocessing, oversampling, and optimization strategies, our model achieves high accuracy, stability, and generalization. While incorporating Fourier transform-based phase and amplitude features showed minimal impact, our proposed framework helps non-experts to effectively identify deepfake images, making significant strides toward accessible and reliable deepfake detection.

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Nithira Jayarathne, Naveen Basnayake, Keshawa Jayasundara, Pasindu Dodampegama, Praveen Wijesinghe, Hirushika Pelagewatta, Kavishka Abeywardana, Sandushan Ranaweera, Chamira Edussooriya. 2025-11-24. SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection. https://arxiv.org/abs/2511.19187

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