The proposed system reduces manual inspection and provides a faster approach for image authenticity verification, and can be useful in digital forensics, media verification, security, and other applications where image authenticity is important.
The evolution of sophisticated generative artificial intelligence has led to the rapid development of very realistic manipulated images and videos, posing substantial risks for digital trust, cyber security, and multimedia authenticity. Advanced Deepfake generation technologies result in the creation of believable forg...
As information technology advances, digital content has become widely adopted across diverse fields such as news broadcasting, entertainment, commerce, and forensic investiga?tion. However, the availability of sophisticated multimedia editing tools has significantly increased the risk of video and image forgery, raisin...
With the development of technology, image editing tools are becoming increasingly powerful and image tampering is also becoming increasingly easy. A large number of manipulated images are spreading on social media, causing certain damage to social stability. At the same time, it also has a certain impact on the law and...
A multi-forgery detection framework based on Groupwise-Spatial Attention–based Dense Neural Network (GSA-DNN) is proposed to detect copy-move and splicing forgery.
Deepfake technology, powered by deep learning models, enables the synthesis of highly realistic facial images and videos. However, in recent years, the misuse of deepfakes has posed severe challenges to both individual privacy and social trust. Consequently, this paper systematically reviews research pertaining to deep...
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