Pvass-mdd: predictive visual-audio alignment self-supervision for multimodal deepfake detection

Y Yu, X Liu, R Ni, S Yang, Y Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deepfake techniques can forge the visual or audio signals in the video, which leads to
inconsistencies between visual and audio (VA) signals. Therefore, multimodal detection …

Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review

A Yadav, DK Vishwakarma - Expert Systems with Applications, 2024 - Elsevier
With the large chunks of social media data being created daily and the parallel rise of
realistic multimedia tampering methods, detecting and localising tampering in images and …

Face forgery detection via multi-feature fusion and local enhancement

D Zhang, J Chen, X Liao, F Li, J Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid growth of Internet technology, security concerns have risen, particularly with
the prevalence of Deepfakes, a popular visual forgery technique. Therefore, there is …

Efficient detection of intra/inter-frame video copy-move forgery: a hierarchical coarse-to-fine method

JL Zhong, YF Gan, JX Yang - Journal of Information Security and …, 2024 - Elsevier
With a simple forgery technique but a realistic result, video copy-move forgery has currently
become one of the most popular tampering manners. In the last couple of years, various new …

Mcl: multimodal contrastive learning for deepfake detection

X Liu, Y Yu, X Li, Y Zhao - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Advancements in computer vision and deep learning have led to difficulty in distinguishing
Deepfake and real videos. In particular, forgery audios are also generated to accompany …

[HTML][HTML] MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection

B Liu, B Liu, M Ding, T Zhu - Neurocomputing, 2024 - Elsevier
The rise of Deepfake technology has sparked significant concerns due to its potential for
misuse and malicious manipulation of multimedia content. Various detection approaches …

Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

NUR Ahmed, A Badshah, H Adeel, A Tajammul… - IEEE …, 2024 - ieeexplore.ieee.org
In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI),
machine, and deep learning) have updated tools and techniques for manipulating …

MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos

J Sun, HH Dodge, MH Mahoor - Expert Systems with Applications, 2024 - Elsevier
Deep machine learning models including Convolutional Neural Networks (CNN) have been
successful in the detection of Mild Cognitive Impairment (MCI) using medical images …

Pixel-inconsistency modeling for image manipulation localization

C Kong, A Luo, S Wang, H Li, A Rocha… - arxiv preprint arxiv …, 2023 - arxiv.org
Digital image forensics plays a crucial role in image authentication and manipulation
localization. Despite the progress powered by deep neural networks, existing forgery …

Multi-spectral class center network for face manipulation detection and localization

C Miao, Q Chu, Z Tan, Z **, T Gong, W Zhuang… - arxiv preprint arxiv …, 2023 - arxiv.org
As deepfake content proliferates online, advancing face manipulation forensics has become
crucial. To combat this emerging threat, previous methods mainly focus on studying how to …