An image watermark removal method for secure internet of things applications based on federated learning-Reference-Cited by-同舟云学术

An image watermark removal method for secure internet of things applications based on federated learning

Published:2022-06 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Li Hongan¹^ORCID,Wang Guanyi¹^ORCID,Hua Qiaozhi²^ORCID,Wen Zheng³^ORCID,Li Zhanli¹^ORCID,Lei Ting¹^ORCID

Affiliation:

1. College of Computer Science and Technology Xi'an University of Science and Technology Xi'an China

2. Computer School Hubei University of Arts and Science Hubei China

3. School of Fundamental Science and Engineering Waseda University Waseda Japan

Funder

Natural Science Foundation of Shaanxi Province

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13036

Reference52 articles.

1. Federated learning for cybersecurity: concepts, challenges and future directions;Alazab M.;IEEE Transactions on Industrial Informatics,2021

2. Bo L.(2019).Research on detection and removal of image visible watermark based on deep learning (unpublished master's thesis). Harbin Institute of Technology.

3. Generative adversarial networks model for visible watermark removal

4. On the effectiveness of visible watermarks;Dekel T.;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perceptive Self-Supervised Learning Network for Noisy Image Watermark Removal;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

2. A self-supervised network for image denoising and watermark removal;Neural Networks;2024-06