Deep learning based image steganography: A review

Author:

Wani Mohd Arif1ORCID,Sultan Bisma1

Affiliation:

1. Department of Computer Science University of Kashmir Srinagar Jammu and Kashmir India

Publisher

Wiley

Subject

General Computer Science

Reference80 articles.

1. Learning to protect communications with adversarial neural cryptography;Abadi M.;arXiv,2016

2. Ahuja S. Kumar C. U. &Hemalatha S.(2019).Competitive coevolution for color image steganography. 2019 International conference on intelligent computing and control systems ICCS 2019 ICICCS 719–723.https://doi.org/10.1109/ICCS45141.2019.9065844

3. Bossbase Dataset. (n.d.). Retrieved fromhttps://dde.binghamton.edu/download/

4. CelebA Dataset. (n.d.). Retrieved fromhttps://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

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. Channel Hopping Steganography For Color Images;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26

2. A Comprehensive Study of Digital Image Steganographic Techniques;IEEE Access;2023

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