Guest Editors
Prof. Bin Ma, Qilu University of Technology, China
Prof. Linna Zhou, Beijing University of Posts and Telecommunications, China
Prof. Xiaolong Li, Beijing Jiaotong University, China
Prof. Qi Li, Qilu University of Technology, China
Prof. Xiaoyu Wang, Qilu University of Technology, China
Summary
The special issue titled “Multimedia Security in Deep Learning” serves as a platform to propel research into the inventive applications of deep learning in the realm of Multimedia Security. We extend a global invitation to scholars for the submission of high-quality papers that traverse the cutting-edge intersections of Multimedia Security and Deep Learning. As a part of CSIG Chinese Conference on Media Forensics and Security in 2024, this special issue actively encourages contributions that delve into understanding the impact of Multimedia Security on the performance of deep learning models. Authors are urged to share their insights into innovative methodologies, engage in theoretical discussions, and showcase practical applications within the intersection of Multimedia Security and Deep Learning. Through this collaborative platform, our overarching goal is to stimulate profound cooperation within the global academic community. By doing so, we aim to drive forward state-of-the-art research at the crossroads of color imagery and deep learning. We extend a warm invitation to scholars worldwide to actively participate, contribute to scholarly discussions, and play a pivotal role in advancing knowledge within this interdisciplinary field.
Keywords
Deepfake Generation and Detection
Image Steganography and Steganalysis
Deep Learning Model Security
Image Information Hiding
Image Forensics
Pose Estimation
Semantic Segmentation
Object Detection
Super Resolution
Watermarking and Watermark Attacking
Object Tracking
Image Fusion
Other Related Color Image Processing Fields
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