Results 161 to 170 of about 6,210 (184)

The continued influence of AI-generated deepfake videos despite transparency warnings. [PDF]

Commun Psychol
Clark S, Lewandowsky S.
europepmc   +1 more source

Explainable AI for forensic speech authentication within cognitive and computational neuroscience. [PDF]

Front Neurosci
Cheng Z, Yang H, Xiong Y, Hu X.
europepmc   +1 more source

Detection of cloned voices in realistic forensic voice comparison scenarios. [PDF]

Front Artif Intell
Univaso P, San Segundo E.
europepmc   +1 more source

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments. [PDF]

PLoS One
Jabbar N, Bhatti SM, Rashid M, Jaffar A, Akram S.   +4 more
europepmc   +1 more source

EFIMD-Net: Enhanced Feature Interaction and Multi-Domain Fusion Deep Forgery Detection Network. [PDF]

J Imaging
Cheng H, Pang W, Li K, Wei Y, Song Y, Chen J.   +5 more
europepmc   +1 more source

Novel 59-layer dense inception network for robust deepfake identification. [PDF]

Sci Rep
Alharbi A, Alosaimi W, Nadeem M, Alyami H, Alouffi B, Almulihi A, Farooqui NA, Ahmed R, Khan RA.   +8 more
europepmc   +1 more source

Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach. [PDF]

Sci Rep
Khalid M, Mushtaq MF, Akram U, Safran M, Alfarhood S, Ashraf I.   +5 more
europepmc   +1 more source

LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion. [PDF]

Sci Rep
Muruganandham P, Thangasamy GR, Jayaraman S, Dharmarajan R.   +3 more
europepmc   +1 more source

Evaluating Features and Variations in Deepfake Videos Using the CoAtNet Model. [PDF]

J Imaging
Alattas E, Clark J, Al-Aama A, Jarraya SK.   +3 more
europepmc   +1 more source

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Deepfake Detection

Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023
This tutorial presents developments on the detection of Deepfakes, which are realistic images, audios and videos created using deep learning techniques. Deepfakes can be readily used for malicious purposes and pose a serious threat to privacy and security.
Md Shohel Rana, Andrew H. Sung
openaire   +1 more source