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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 …
A comprehensive review of deep-learning-based methods for image forensics
I Castillo Camacho, K Wang - Journal of imaging, 2021 - mdpi.com
Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …
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 …
DeepFake detection for human face images and videos: A survey
Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
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 …
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 …
Constrained convolutional neural networks: A new approach towards general purpose image manipulation detection
Identifying the authenticity and processing history of an image is an important task in
multimedia forensics. By analyzing traces left by different image manipulations, researchers …
multimedia forensics. By analyzing traces left by different image manipulations, researchers …
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 …
SPAN: Spatial pyramid attention network for image manipulation localization
We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and
localization of multiple types of image manipulations. The proposed architecture efficiently …
localization of multiple types of image manipulations. The proposed architecture efficiently …
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 …