Machine learning in digital forensics: a systematic literature review
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 …
Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack-a case study on face mask …
With the increasing demand for reliable face mask detection systems during the COVID-19
pandemic, deep learning (DL) and machine learning (ML) algorithms have been widely …
pandemic, deep learning (DL) and machine learning (ML) algorithms have been widely …
White-box inference attack: compromising the security of deep learning-based COVID-19 diagnosis systems
The COVID-19 pandemic has necessitated the exploration of innovative diagnostic
approaches, including the utilization of machine learning (ML) and deep learning (DL) …
approaches, including the utilization of machine learning (ML) and deep learning (DL) …
A deep neural network with hybrid spotted hyena optimizer and grasshopper optimization algorithm for copy move forgery detection
Protecting data against tampering is a significant concern in modern times. Digital
photographs are essential for displaying information. Digital picture forgeries include adding …
photographs are essential for displaying information. Digital picture forgeries include adding …
DS‐Net: Dual supervision neural network for image manipulation localization
C Dai, L Su, B Wu, J Chen - IET Image Processing, 2023 - Wiley Online Library
With the rapid development of image editing technology, tampering with images has
become easier. Maliciously tampered images lead to serious security problems (eg, when …
become easier. Maliciously tampered images lead to serious security problems (eg, when …
Deep learning-based efficient and robust image forgery detection
Ö KASIM - Multimedia Tools and Applications, 2024 - Springer
The identification of the tampered images is the research area of digital forensics, which
defines the manipulation in the image. This is easily performed by forgers without the …
defines the manipulation in the image. This is easily performed by forgers without the …
Detection and localization of image tampering in digital images with fused features
In digital forensics, image tamper detection and localization have attracted increased
attention in recent days, where the standard methods have limited description ability and …
attention in recent days, where the standard methods have limited description ability and …
Deep Learning-based Image Text Processing Research*
H **ong, K **, J Liu, J Cai… - 2023 IEEE 9th Intl …, 2023 - ieeexplore.ieee.org
Deep learning is a powerful multi-layer architecture that has important applications in image
processing and text classification. This paper first introduces the development of deep …
processing and text classification. This paper first introduces the development of deep …
A residual semantic graph convolutional network with high-resolution representation for 3D human pose estimation in a virtual fashion show
P Zhang, P Ding, G Li, J Zhang - Multimedia Tools and Applications, 2024 - Springer
Abstract 3D human pose estimation has achieved rapid progress in virtual fashion shows.
Loose clothing and personalized poses in virtual fashion shows often led to unclear body …
Loose clothing and personalized poses in virtual fashion shows often led to unclear body …
Analysing the Effectiveness of YOLO Model in Detecting the Images Captured by the Drone
MN Ramzan, H Jahankhani - … of Artificial Intelligence, Security, and Ethical …, 2024 - Springer
The traditional forensic methods are not adequate to meet the demands of forensics
investigations of drone. This is mainly due to unique characteristics of drones, there are …
investigations of drone. This is mainly due to unique characteristics of drones, there are …