Deepfake detection is critical in mitigating the societal threats posed by manipulated videos. While various algorithms have been developed for this purpose, challenges arise when detectors operate externally, such as on smartphones, when users take a photo of deepfake images and upload on the Internet. One significant challenge in such scenarios is the presence of Moire patterns, which degrade image quality and confound conventional classification algorithms, including deep neural networks (DNNs). The impact of Moire patterns remains largely unexplored for deepfake detectors.
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