Curvelet-Based Frequency-Aware Feature Enhancement for Deepfake Detection

ArXi:2604.12028v1 Announce Type: cross The proliferation of sophisticated generative models has significantly advanced the realism of synthetic facial content, known as deepfakes, raising serious concerns about digital trust. Although modern deep learning-based detectors perform well, many rely on spatial-domain features that degrade under compression. This limitation has prompted a shift toward integrating frequency-domain representations with deep learning to improve robustness.