Novel intelligent systems to assist energy transition and improve sustainability can be deployed at different scales, ranging from a house to an entire region. University campuses …
L **ang, S Yang, Y Liu, Q Li, C Zhu - Mathematics, 2020 - mdpi.com
With the development of natural language processing, linguistic steganography has become a research hotspot in the field of information security. However, most existing linguistic …
L **ang, G Guo, J Yu, VS Sheng… - Mathematical …, 2020 - pdfs.semanticscholar.org
In this paper, a linguistic steganalysis method based on two-level cascaded convolutional neural networks (CNNs) is proposed to improve the system's ability to detect stego texts …
A AbdelRaouf - Multimedia Tools and Applications, 2021 - Springer
The increase of data communication globally requires secure exchange of private information. Steganography is a common form of information hiding from an unauthorized …
Question answer selection in the Chinese medical field is very challenging since it requires effective text representations to capture the complex semantic relationships between …
Y Niu, J Wen, P Zhong, Y Xue - IEEE Signal Processing Letters, 2019 - ieeexplore.ieee.org
With the emergence of the generation-based steganography, the traditional text steganalysis methods show the unsatisfactory detection performance as the manually extracted features …
Steganography is the process of hiding messages inside an object known as a carrier. The idea is establishing a covert communication channel where messages go unnoticed by …
L Yu, Y Lu, X Yan, Y Yu - Entropy, 2022 - mdpi.com
Generative linguistic steganography encodes candidate words with conditional probability when generating text by language model, and then, it selects the corresponding candidate …
Y Tong, YL Liu, J Wang, G **n - Mathematical Biosciences and …, 2019 - aimspress.com
We present a Recurrent Neural Network (RNN) Encoder-Decoder model to generate Chinese pop music lyrics to hide secret information. In particular, on a given initial line of a …