Pvass-mdd: predictive visual-audio alignment self-supervision for multimodal deepfake detection
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 …
inconsistencies between visual and audio (VA) signals. Therefore, multimodal detection …
Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review
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 …
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 …
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 …
become one of the most popular tampering manners. In the last couple of years, various new …
Mcl: multimodal contrastive learning for deepfake detection
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 …
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
The rise of Deepfake technology has sparked significant concerns due to its potential for
misuse and malicious manipulation of multimedia content. Various detection approaches …
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 …
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
Deep machine learning models including Convolutional Neural Networks (CNN) have been
successful in the detection of Mild Cognitive Impairment (MCI) using medical images …
successful in the detection of Mild Cognitive Impairment (MCI) using medical images …
Pixel-inconsistency modeling for image manipulation localization
Digital image forensics plays a crucial role in image authentication and manipulation
localization. Despite the progress powered by deep neural networks, existing forgery …
localization. Despite the progress powered by deep neural networks, existing forgery …
Multi-spectral class center network for face manipulation detection and localization
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 …
crucial. To combat this emerging threat, previous methods mainly focus on studying how to …