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 …
A survey of deep learning-based source image forensics
Image source forensics is widely considered as one of the most effective ways to verify in a
blind way digital image authenticity and integrity. In the last few years, many researchers …
blind way digital image authenticity and integrity. In the last few years, many researchers …
Forensic similarity for digital images
In this paper, we introduce a new digital image forensics approach called forensic similarity,
which determines whether two image patches contain the same forensic trace or different …
which determines whether two image patches contain the same forensic trace or different …
By leaps and bounds: An exclusive look at how boston dynamics is redefining robot agility
E Guizzo - IEEE Spectrum, 2019 - ieeexplore.ieee.org
WITH THEIR JAW-DROPPING agility and animal-like reflexes, Boston Dynamics' bioinspired
robots have always seemed to have no equal. But that preeminence hasn't stopped the …
robots have always seemed to have no equal. But that preeminence hasn't stopped the …
Efficient source camera identification with diversity-enhanced patch selection and deep residual prediction
Source camera identification has long been a hot topic in the field of image forensics.
Besides conventional feature engineering algorithms developed based on studying the …
Besides conventional feature engineering algorithms developed based on studying the …
[HTML][HTML] Robust forgery detection for compressed images using CNN supervision
Images available on online sharing platforms have a high probability of being modified, with
additional global transformations such as compression, resizing or filtering covering the …
additional global transformations such as compression, resizing or filtering covering the …
[HTML][HTML] Camera model identification based on forensic traces extracted from homogeneous patches
A crucial challenge in digital image forensics is to identify the source camera model used to
generate given images. This is of prime importance, especially for Law Enforcement …
generate given images. This is of prime importance, especially for Law Enforcement …
Training cnns in presence of jpeg compression: Multimedia forensics vs computer vision
Convolutional Neural Networks (CNNs) have proved very accurate in multiple computer
vision image classification tasks that required visual inspection in the past (eg, object …
vision image classification tasks that required visual inspection in the past (eg, object …
Machine learning in digital forensics: a systematic literature review
T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …
A video camera model identification system using deep learning and fusion
While significant work has been conducted to perform source camera model identification for
images, little work has been done specifically for video camera model identification. This is …
images, little work has been done specifically for video camera model identification. This is …