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

• URL: http://arxiv.org/abs/2511.19187v1
• Date: Mon, 24 Nov 2025 14:54:00 GMT
• Title: SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
• Authors: Nithira Jayarathne, Naveen Basnayake, Keshawa Jayasundara, Pasindu Dodampegama, Praveen Wijesinghe, Hirushika Pelagewatta, Kavishka Abeywardana, Sandushan Ranaweera, Chamira Edussooriya,
• Abstract summary: We present a lightweight, generalizable binary classification model based on EfficientNet-B6.<n>Our model achieves high accuracy, stability, and generalization.
• Score: 0.2516672490837904
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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