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 …
Aligned and non-aligned double JPEG detection using convolutional neural networks
Due to the wide diffusion of JPEG coding standard, the image forensic community has
devoted significant attention to the development of double JPEG (DJPEG) compression …
devoted significant attention to the development of double JPEG (DJPEG) compression …
CNN detection of GAN-generated face images based on cross-band co-occurrences analysis
M Barni, K Kallas, E Nowroozi… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Last-generation GAN models allow to generate synthetic images which are visually
indistinguishable from natural ones, raising the need to develop tools to distinguish fake and …
indistinguishable from natural ones, raising the need to develop tools to distinguish fake and …
Demystifying the transferability of adversarial attacks in computer networks
E Nowroozi, Y Mekdad… - … on Network and …, 2022 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) models are one of the most frequently used deep
learning networks, and extensively used in both academia and industry. Recent studies …
learning networks, and extensively used in both academia and industry. Recent studies …
CNN-based detection of generic contrast adjustment with JPEG post-processing
Detection of contrast adjustments in the presence of JPEG post processing is known to be a
challenging task. JPEG post processing is often applied innocently, as JPEG is the most …
challenging task. JPEG post processing is often applied innocently, as JPEG is the most …
Impact of media forensics and deepfake in society
E Nowroozi, S Seyedshoari, M Mohammadi… - Breakthroughs in Digital …, 2022 - Springer
Technologies for producing and modifying content for multimedia have reached to the point
that they could now deliver an extremely high degree of realism. Free software tools …
that they could now deliver an extremely high degree of realism. Free software tools …
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 …
Detecting double JPEG compression and its related anti-forensic operations with CNN
Detecting double JPEG compression is important to forensic experts in identifying the
originality and authenticity of images. However, there are some anti-forensic techniques …
originality and authenticity of images. However, there are some anti-forensic techniques …
Resisting deep learning models against adversarial attack transferability via feature randomization
E Nowroozi, M Mohammadi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the past decades, the rise of artificial intelligence has given us the capabilities to solve the
most challenging problems in our day-to-day lives, such as cancer prediction and …
most challenging problems in our day-to-day lives, such as cancer prediction and …