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Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
Machine learning in digital forensics: a systematic literature review
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …
Deep fake video detection using transfer learning approach
The usage of the internet as a fast medium for spreading fake news reinforces the
requirement of computational utensils in order to fight for it. Fake videos also called deep …
requirement of computational utensils in order to fight for it. Fake videos also called deep …
Deepfakes: evolution and trends
This study conducts research on deepfakes technology evolution and trends based on a
bibliometric analysis of the articles published on this topic along with six research questions …
bibliometric analysis of the articles published on this topic along with six research questions …
STB-VMM: Swin transformer based video motion magnification
The goal of video motion magnification techniques is to magnify small motions in a video to
reveal previously invisible or unseen movement. Its uses extend from bio-medical …
reveal previously invisible or unseen movement. Its uses extend from bio-medical …
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 …
Rethinking data infrastructure and its ethical implications in the face of automated digital content generation
Recent AI developments have made it possible for AI to auto-generate content—text, image,
and sound. Highly realistic auto-generated content raises the question of whether one can …
and sound. Highly realistic auto-generated content raises the question of whether one can …
A CNN-based misleading video detection model
X Li, X **ao, J Li, C Hu, J Yao, S Li - Scientific Reports, 2022 - nature.com
Videos, especially short videos, have become an increasingly important source of
information in these years. However, many videos spread on video sharing platforms are …
information in these years. However, many videos spread on video sharing platforms are …
Deepfake video detection by combining convolutional neural network (cnn) and recurrent neural network (rnn)
Nowadays, people are facing an emerging problem called deepfake videos. These videos
were created using deep learning technology. Some are created just for fun, while others …
were created using deep learning technology. Some are created just for fun, while others …
SRTNet: a spatial and residual based two-stream neural network for deepfakes detection
With the rapid development of Internet technology, the Internet is full of false information, and
Deepfakes, as a kind of visual forgery content, brings the greatest impact to people. The …
Deepfakes, as a kind of visual forgery content, brings the greatest impact to people. The …