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 survey of machine learning techniques in adversarial image forensics
Image forensic plays a crucial role in both criminal investigations (eg, dissemination of fake
images to spread racial hate or false narratives about specific ethnicity groups or political …
images to spread racial hate or false narratives about specific ethnicity groups or political …
Deepfakes detection with automatic face weighting
DM Montserrat, H Hao… - Proceedings of the …, 2020 - openaccess.thecvf.com
Altered and manipulated multimedia is increasingly present and widely distributed via social
media platforms. Advanced video manipulation tools enable the generation of highly …
media platforms. Advanced video manipulation tools enable the generation of highly …
Image forgery detection: a survey of recent deep-learning approaches
M Zanardelli, F Guerrini, R Leonardi… - Multimedia Tools and …, 2023 - Springer
In the last years, due to the availability and easy of use of image editing tools, a large
amount of fake and altered images have been produced and spread through the media and …
amount of fake and altered images have been produced and spread through the media and …
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 …
Two-stage copy-move forgery detection with self deep matching and proposal superglue
Copy-move forgery detection identifies a tampered image by detecting pasted and source
regions in the same image. In this paper, we propose a novel two-stage framework specially …
regions in the same image. In this paper, we propose a novel two-stage framework specially …
An overview of recent work in media forensics: Methods and threats
In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …
(specifically speech), and documents. For each data modality, we discuss synthesis and …
CNN-transformer based generative adversarial network for copy-move source/target distinguishment
Copy-move forgery can be used for hiding certain objects or duplicating meaningful objects
in images. Although copy-move forgery detection has been studied extensively in recent …
in images. Although copy-move forgery detection has been studied extensively in recent …
CNN-based copy-move forgery detection using rotation-invariant wavelet feature
This paper introduces a machine learning based copy-move forgery (CMF) localization
method. The basic convolutional neural network cannot be applied to CMF detection …
method. The basic convolutional neural network cannot be applied to CMF detection …
TBNet: A two-stream boundary-aware network for generic image manipulation localization
Finding tampered regions in images is a common research topic in machine learning and
computer vision. Although many image manipulation location algorithms have been …
computer vision. Although many image manipulation location algorithms have been …