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 …
Adversarial multimedia forensics: Overview and challenges ahead
In recent decades, a significant research effort has been devoted to the development of
forensic tools for retrieving information and detecting possible tampering of multimedia …
forensic tools for retrieving information and detecting possible tampering of multimedia …
[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 …
Detection of double compression with the same coding parameters based on quality degradation mechanism analysis
Detection of double compression with the same coding parameters is a very challenging
problem in video forensics, since traces of recompression operations are extremely slight in …
problem in video forensics, since traces of recompression operations are extremely slight in …
Bibliography of digital image anti‐forensics and anti‐anti‐forensics techniques
MA Qureshi, ESM El‐Alfy - IET Image Processing, 2019 - Wiley Online Library
With the massive increase of online content, widespread of social media, the popularity of
smartphones, and rise of security breaches, image forensics has attracted a lot of attention in …
smartphones, and rise of security breaches, image forensics has attracted a lot of attention in …
A novel deep learning framework for double JPEG compression detection of small size blocks
Double JPEG compression detection plays a vital role in multimedia forensics, to find out
whether a JPEG image is authentic or manipulated. However, it still remains to be a …
whether a JPEG image is authentic or manipulated. However, it still remains to be a …
Secure detection of image manipulation by means of random feature selection
We address the problem of data-driven image manipulation detection in the presence of an
attacker with limited knowledge about the detector. Specifically, we assume that the attacker …
attacker with limited knowledge about the detector. Specifically, we assume that the attacker …
Mislgan: an anti-forensic camera model falsification framework using a generative adversarial network
Deep learning techniques have become popular for performing camera model identification.
To expose weaknesses in these methods, we propose a new anti-forensic framework that …
To expose weaknesses in these methods, we propose a new anti-forensic framework that …
Source camera device identification from videos
GS Bennabhaktula, D Timmerman, E Alegre… - SN Computer …, 2022 - Springer
Source camera identification is an important and challenging problem in digital image
forensics. The clues of the device used to capture the digital media are very useful for Law …
forensics. The clues of the device used to capture the digital media are very useful for Law …
Higher-order, adversary-aware, double jpeg-detection via selected training on attacked samples
In this paper we present an adversary-aware double JPEG detector which is capable of
detecting the presence of two JPEG compression steps even in the presence of …
detecting the presence of two JPEG compression steps even in the presence of …