arXiv:2101.00350
공식 코드 · Papers with Code
Multi-Image Steganography Using Deep Neural Networks
원문 초록
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.
함께 살펴볼 논문
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STCL:Curriculum learning Strategies for deep learning image steganography models
CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning
SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding
Steganographic Embeddings as an Effective Data Augmentation
Neural Cover Selection for Image Steganography
StegaINR4MIH: steganography by implicit neural representation for multi-image hiding
토론
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