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Face Swapping

Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.

( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )

Papers

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Showing 131–140 of 914 papers

TitleStatusHype
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops—0
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection—0
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated SamplesCode0
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention—0
REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations—0
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake DetectionCode1
Deepfake Detection of Singing Voices With Whisper Encodings—0
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection—0
Extending Information Bottleneck Attribution to Video SequencesCode0
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