Media forensics and deepfakes: an overview
L Verdoliva - IEEE journal of selected topics in signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …
multimedia content can now provide a very advanced level of realism. The boundary …
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic map** study
Fake news has now grown into a big problem for societies and also a major challenge for
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
Faceforensics++: Learning to detect manipulated facial images
The rapid progress in synthetic image generation and manipulation has now come to a point
where it raises significant concerns for the implications towards society. At best, this leads to …
where it raises significant concerns for the implications towards society. At best, this leads to …
Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
To fight against real-life image forgery, which commonly involves different types and
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …
Attributing fake images to gans: Learning and analyzing gan fingerprints
Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
increasing success in generating photorealistic images. But they also raise challenges to …
increasing success in generating photorealistic images. But they also raise challenges to …
Noiseprint: A CNN-based camera model fingerprint
Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera
processes left on the acquired images. Such traces represent a sort of camera fingerprint. If …
processes left on the acquired images. Such traces represent a sort of camera fingerprint. If …
Fighting fake news: Image splice detection via learned self-consistency
Advances in photo editing and manipulation tools have made it significantly easier to create
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …
Hybrid lstm and encoder–decoder architecture for detection of image forgeries
With advanced image journaling tools, one can easily alter the semantic meaning of an
image by exploiting certain manipulation techniques such as copy clone, object splicing …
image by exploiting certain manipulation techniques such as copy clone, object splicing …
Faceforensics: A large-scale video dataset for forgery detection in human faces
With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …
with extremely realistic synthetic faces, even in real time. Countless applications are …
PSCC-Net: Progressive spatio-channel correlation network for image manipulation detection and localization
To defend against manipulation of image content, such as splicing, copy-move, and
removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to …
removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to …