Exploring the Impact of Moire Pattern on Deepfake Detectors
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 ...
Tariq, Razaib +2 more
core
GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection. [PDF]
Tian Z, Yi J.
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The emergence of deepfake technology, which relies on generative adversarial networks (GANs), has raised substantial concerns in the realm of digital media. This technology enables the manipulation of facial features in videos, leading to potential misuse for spreading false information, misrepresentation, and identity theft.
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Enhancing practicality and efficiency of deepfake detection. [PDF]
Balafrej I, Dahmane M.
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A Dual-Branch Fusion Model for Deepfake Detection Using Video Frames and Microexpression Features. [PDF]
Petmezas G +4 more
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ID-insensitive deepfake detection model based on multi-attention mechanism. [PDF]
Sheng Y +5 more
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection. [PDF]
Rani G +5 more
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Audio Deepfake Detection: What Has Been Achieved and What Lies Ahead. [PDF]
Zhang B, Cui H, Nguyen V, Whitty M.
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Exploring autonomous methods for deepfake detection: A detailed survey on techniques and evaluation. [PDF]
Sunil R +4 more
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CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization. [PDF]
Yang R, You K, Pang C, Luo X, Lan R.
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