[Retracted] The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)

J Hassan, D Shehzad, U Habib… - Computational …, 2022 - Wiley Online Library
Cloud computing is a long‐standing dream of computing as a utility, where users can store
their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …

A novel trust-based security and privacy model for internet of vehicles using encryption and steganography

MS Rathore, M Poongodi, P Saurabh… - Computers and …, 2022 - Elsevier
High-speed wireless network technologies play a vital role in autonomous vehicle
communication systems (AVS), ie, IoV (Internet of Vehicles), and enhance the effectiveness …

A brief survey on deep learning based data hiding

C Zhang, C Lin, P Benz, K Chen, W Zhang… - arXiv preprint arXiv …, 2021 - arxiv.org
Data hiding is the art of concealing messages with limited perceptual changes. Recently,
deep learning has enriched it from various perspectives with significant progress. In this …

DeepMIH: Deep invertible network for multiple image hiding

Z Guan, J Jing, X Deng, M Xu, L Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multiple image hiding aims to hide multiple secret images into a single cover image, and
then recover all secret images perfectly. Such high-capacity hiding may easily lead to …

Robust invertible image steganography

Y Xu, C Mou, Y Hu, J Xie… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Image steganography aims to hide secret images into a container image, where the secret is
hidden from human vision and can be restored when necessary. Previous image …

Editguard: Versatile image watermarking for tamper localization and copyright protection

X Zhang, R Li, J Yu, Y Xu, W Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
In the era of AI-generated content (AIGC) malicious tampering poses imminent threats to
copyright integrity and information security. Current deep image watermarking while widely …

Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling

M Zhou, J Huang, X Fu, F Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As recognized, the ground-truth multispectral (MS) images possess the complementary
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …

Pan-sharpening with customized transformer and invertible neural network

M Zhou, J Huang, Y Fang, X Fu, A Liu - Proceedings of the AAAI …, 2022 - ojs.aaai.org
In remote sensing imaging systems, pan-sharpening is an important technique to obtain
high-resolution multispectral images from a high-resolution panchromatic image and its …

Cross: Diffusion model makes controllable, robust and secure image steganography

J Yu, X Zhang, Y Xu, J Zhang - Advances in Neural …, 2024 - proceedings.neurips.cc
Current image steganography techniques are mainly focused on cover-based methods,
which commonly have the risk of leaking secret images and poor robustness against …

Large-capacity and flexible video steganography via invertible neural network

C Mou, Y Xu, J Song, C Zhao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Video steganography is the art of unobtrusively concealing secret data in a cover video and
then recovering the secret data through a decoding protocol at the receiver end. Although …