Papers › Multi-Image Steganography Using Deep Neural Networks

Multi-Image Steganography Using Deep Neural Networks

2 Jan 2021arXiv:2101.00350archive 2025-07-28

Abhishek Das, Japsimar Singh Wahi, Mansi Anand, Yugant Rana

Steganography is the science of hiding a secret message within an ordinary public message. Over the years, steganography has been used to encode a lower resolution image into a higher resolution image by simple methods like LSB manipulation. We aim to utilize deep neural networks for the encoding and decoding of multiple secret images inside a single cover image of the same resolution.

PaperPDFCode

Code

JapsimarSinghWahi/DeepSteganography officialmentioned in papermentioned on GitHubpytorch report
m607stars/multiimagesteganography mentioned on GitHubpytorch report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

Image Steganography

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections