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 …

A survey of deep learning-based source image forensics

P Yang, D Baracchi, R Ni, Y Zhao, F Argenti, A Piva - Journal of Imaging, 2020 - mdpi.com
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 …

Forensic similarity for digital images

O Mayer, MC Stamm - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
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 …

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 …

Efficient source camera identification with diversity-enhanced patch selection and deep residual prediction

Y Liu, Z Zou, Y Yang, NFB Law, AA Bharath - Sensors, 2021 - mdpi.com
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 …

[HTML][HTML] Robust forgery detection for compressed images using CNN supervision

B Diallo, T Urruty, P Bourdon… - Forensic Science …, 2020 - Elsevier
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 …

[HTML][HTML] Camera model identification based on forensic traces extracted from homogeneous patches

GS Bennabhaktula, E Alegre, D Karastoyanova… - Expert Systems with …, 2022 - Elsevier
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 …

Training cnns in presence of jpeg compression: Multimedia forensics vs computer vision

S Mandelli, N Bonettini, P Bestagini… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have proved very accurate in multiple computer
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 …

A video camera model identification system using deep learning and fusion

B Hosler, O Mayer, B Bayar, X Zhao… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
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 …