Physiological and morphometric biomarkers for synthetic media detection. [PDF]
Front Bioeng BiotechnolJędrasiak K, Bijoch J.
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An integrated framework for proactive deepfake mitigation via attention-driven watermarking and blockchain-based authenticity verification. [PDF]
Sci RepHajjej F, Hamid M, Alluhaidan AS.
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A dataset of genuine and synthetic Portuguese speech covering European, Brazilian, African, and regional accents - <i>An open resource for speech deepfake detection and trustworthy AI research</i>. [PDF]
Data BriefOliveira AMV +3 more
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Prediction model for the dissemination of AI-generated deepfake videos in the intelligent entertainment paradigm. [PDF]
Sci RepMa X, Wang J, Ji E, Wang Z.
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Evaluating the real-world robustness of face-swap detection models under compression and noise. [PDF]
Front Artif IntellBaocai L, Azzali FB, Farid NFBNM.
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Eye Tracking and AI-Generated Content: A Systematic Literature Review of Visual Attention, Cognitive Processing, and User Engagement. [PDF]
J Eye Mov ResResulbegoviq H +3 more
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Sexualized Deepfakes in UK Schools: Understanding and Preventing AI-Generated Image-Based Sexual Abuse Through Better AI Literacies. [PDF]
Behav Sci (Basel)Ringrose J, Horeck T, Rodda E.
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The continued influence of AI-generated deepfake videos despite transparency warnings. [PDF]
Commun PsycholClark S, Lewandowsky S.
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The psychology of manipulative visibility in the digital public sphere: a discourse analysis of audience reactions to deceptive Instagram content. [PDF]
Front PsycholYılmaz E.
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Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]
PLoS OneLi Z, Tang W, Gao S, Wang Y, Wang S.
europepmc +1 more source