FL-TENB4: A Federated-Learning-Enhanced Tiny EfficientNetB4-Lite Approach for Deepfake Detection in CCTV Environments. [PDF]
Ha J, El Azzaoui A, Park JH.
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Deepfake detection using deep feature stacking and meta-learning. [PDF]
Naskar G +4 more
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Media Forensic Considerations of the Usage of Artificial Intelligence Using the Example of DeepFake Detection. [PDF]
Siegel D +3 more
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Decoding deception: state-of-the-art approaches to deep fake detection. [PDF]
Hussain T +4 more
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Robust deepfake detector against deep image watermarking. [PDF]
Yu J, Liu X, Zan F, Peng Y.
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Prediction model for the dissemination of AI-generated deepfake videos in the intelligent entertainment paradigm. [PDF]
Ma X, Wang J, Ji E, Wang Z.
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Detecting anti-forensic deepfakes with identity-aware multi-branch networks. [PDF]
Zhu M, Long J.
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Deepfake defense: Combining spatial and temporal cues with CNN-BiLSTM-transformer architecture. [PDF]
Yadav S, Mangalampalli SS.
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Deepfake video deception detection using visual attention-based method. [PDF]
Lal K, Shiwani S, Gandhi GC.
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A gated temporal attention based intra prediction framework for robust deepfake video detection. [PDF]
Clapten JE, Balaji V.
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