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Found 3 papers, 1 papers with code
Unearthing Common Inconsistency for Generalisable Deepfake Detection
While current image-level detection method fails to generalize to unseen domains, owing to the domain-shift phenomenon brought by CNN's strong inductive bias towards Deepfake texture, video-level one shows its potential to have both generalization across multiple domains and robustness to compression.
Protecting World Leader Using Facial Speaking Pattern Against Deepfakes
This paper proposes a dual stream learning facial and speaking patterns method to protect celebrities against deepfakes.
A Siamese CNN for Image Steganalysis
On the assumption that natural image noise is similar between different image sub-regions, we propose an end-to-end, deep learning, novel solution for distinguishing steganography images from normal images that provides satisfying performance.
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