Robust steganographic approach using generative adversarial network and compressive autoencoder
Crossref DOI link: https://doi.org/10.1007/s11042-024-20422-5
Published Online: 2024-11-13
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Qasaimeh, Malik https://orcid.org/0000-0003-1303-4501
Qtaish, Alaa Abu
Aljawarneh, Shadi
Text and Data Mining valid from 2024-11-13
Version of Record valid from 2024-11-13
Article History
Received: 4 September 2023
Revised: 14 October 2024
Accepted: 25 October 2024
First Online: 13 November 2024
Declarations
:
: The authors declare that they have no conflict of interest.