In recent years, we have come across a vast range of software tools like "Photoshop" and techniques like DeepFake that have made it easier to create unrealistic and believable face swaps in videos that end up leaving very few traces of manipulation. The...Singh, Aadya...
In recent years, we have come across a vast range of software tools like "Photoshop" and techniques like DeepFake that have made it easier to create unrealistic and believable face swaps in videos that end up leaving very few traces of manipulation. The realistic nature of DeepFake videos are...
"Fake face images have been a topic of research for quite some time now, but studies have mainly focused on photos made by humans, using Photoshop tools," Shahroz Tariq, one of the researchers who carried out the study told Tech Xplore. "Recently,a study by Karras et al.showed that a ...
paper: [arXiv 2019] Swapped Face Detection using Deep Learning and Subjective Assessment A public dataset comprising 86 celebrities using 420,053 images. This dataset is created using still images, different from other datasets created using video frames that may contain highly correlated images. ...
Deepfake attempts is to use a program that inserts specially designed digital ‘artifacts’ into videos to conceal the patterns of pixels that face detection software uses. These then slow down Deepfake algorithms and lead to poor quality results — making the chances of successful Deepfaking less ...
Detection of fake news using deep learning CNN–RNN based methods 2022, ICT Express Citation Excerpt : They use Fake News Dataset [16], and as a result, their proposed method is outperformed Ahmad et al. study [15], where the accuracy, precision, recall, and F1-score are 98.36%, 99.40...
Deep fake ready to train on any 2 pair dataset with higher resolution pytorchfaceswapgandeeplearningfakefacedeepfakes UpdatedFeb 1, 2019 Python A Cross-Platform(Web, Android, iOS, Linux and Macos) app to Generate Faces of People (These people don't actually exist) made using Flutter. ...
“Dataset for supervised bot detection on Twitter” [40]. Although Instagram operates differently from other social networks like Facebook or X, the dataset used in this study comes from X due to the similar features shared between the platforms in detecting fake accounts. Additionally, the ...
Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss. - jesse1029/Fake-Face-Images-Detection-Tensorflow
DANES: Deep neural network ensemble architecture for social and textual context-aware fake news detection (2023) arXiv preprint arXiv:2302.01756 Google Scholar Van der Maaten and Hinton, 2008 Van der Maaten L., Hinton G. Visualizing data using t-SNE J. Mach. Learn. Res., 9 (11) (2008)...