Vaccine for digital images against steganography. [PDF]
Li X, Wang Z.
europepmc +1 more source
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng +16 more
wiley +1 more source
Triple-layered security system: reliable and secured image communications over 5G and beyond networks. [PDF]
Srour T +3 more
europepmc +1 more source
Image steganalysis using active learning and hyperparameter optimization. [PDF]
Bohang L +9 more
europepmc +1 more source
Environmental sustainability assessment based on accounting information audit. [PDF]
Hou P, Lu W, Li Q, Wang Q.
europepmc +1 more source
Image steganography techniques for resisting statistical steganalysis attacks: A systematic literature review. [PDF]
Apau R +4 more
europepmc +1 more source
Super-resolution deep neural network (SRDNN) based multi-image steganography for highly secured lossless image transmission. [PDF]
Priya S +3 more
europepmc +1 more source
IDGAN: Information-Driven Generative Adversarial Network of Coverless Image Steganography [PDF]
Traditional image steganography techniques complete the steganography process by embedding secret information into cover images, but steganalysis tools can easily detect detectable pixel changes that lead to the leakage of confidential information.
Chunying Zhang, Wang Liya
exaly +2 more sources
An End-to-End Video Steganography Network Based on a Coding Unit Mask [PDF]
Steganography hides secret messages inside the covers while ensuring imperceptibility. Different from traditional steganography, deep learning-based steganography has an adaptable and generalized framework without needing expertise regarding the ...
Huanhuan Chai, Zhaohong Li
exaly +2 more sources

