arXiv:2004.12626
공식 코드 · Papers with Code
Preliminary Forensics Analysis of DeepFake Images
원문 초록
One of the most terrifying phenomenon nowadays is the DeepFake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning. This paper will present a brief overview of technologies able to produce DeepFake images of faces. A forensics analysis of those images with standard methods will be presented: not surprisingly state of the art techniques are not completely able to detect the fakeness. To solve this, a preliminary idea on how to fight DeepFake images of faces will be presented by analysing anomalies in the frequency domain.
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Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection
Post-training for Deepfake Speech Detection
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
Unmasking real-world audio deepfakes: A data-centric approach
TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes
토론
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