The ability to detect manipulated visual content is becoming increasingl...
Detecting fake images is becoming a major goal of computer vision. This ...
In this paper we present TruFor, a forensic framework that can be applie...
Over the past decade, there has been tremendous progress in creating
syn...
Manipulation tools that realistically edit images are widely available,
...
Thanks to recent advances in deep learning, sophisticated generation too...
Face manipulation technology is advancing very rapidly, and new methods ...
The widespread diffusion of synthetically generated content is a serious...
State-of-the-art DeepFake forgery detectors are trained in a supervised
...
Source identification is an important topic in image forensics, since it...
PRNU-based image processing is a key asset in digital multimedia forensi...
Thanks to the fast progress in synthetic media generation, creating real...
The rapid progress in synthetic image generation and manipulation has no...
Distinguishing fakes from real images is becoming increasingly difficult...
We propose a new method for SAR image despeckling which leverages inform...
Camera fingerprints are precious tools for a number of image forensics t...
Forensic analyses of digital images rely heavily on the traces of in-cam...
With recent advances in computer vision and graphics, it is now possible...
We recently proposed a convolutional neural network (CNN) for remote sen...
We propose a new algorithm for the reliable detection and localization o...
Local descriptors based on the image noise residual have proven extremel...
We propose a new algorithm for fast approximate nearest neighbor search ...
Dense local descriptors and machine learning have been used with success...
Image forgery localization is a very active and open research field for ...