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WAVIE Method Aims to Improve Deepfake Detection on Unseen Manipulations
A new arXiv paper introduces WAVIE, a lightweight approach to detecting deepfake faces that combines wavelet-based augmentation with intermediate vision embeddings. The authors target a common weakness in existing detectors, which often lose accuracy when they encounter manipulation techniques not seen during training. The work is positioned as a step toward more reliable face forgery detection in real-world settings.