Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]
Salama WM, Aly MH.
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
Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity. [PDF]
Han C, Xue T.
europepmc +1 more source
Image steganography without embedding by carrier secret information for secure communication in networks. [PDF]
Zhang Y +5 more
europepmc +1 more source
Image steganalysis using active learning and hyperparameter optimization. [PDF]
Bohang L +9 more
europepmc +1 more source
Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography
Linguistic steganography provides convenient implementation to hide messages, particularly with the emergence of AI generation technology. The potential abuse of this technology raises security concerns within societies, calling for powerful linguistic ...
Huang, Yongfeng +3 more
core
Feature-Based Coverless Information Hiding Using Vision Transformer
Sangeeta Gautam, Manoj Kumar
openaire +1 more source
A State-of-the-Art Survey of Coverless Text Information Hiding [PDF]
openaire +1 more source
Coverless Text Information Hiding Based on Built-in Features of Arabic Scripts
openaire +1 more source
Related searches:
A Coverless Image Information Hiding Algorithm Based on Fractal Theory
International Journal of Bifurcation and Chaos, 2020To improve the robustness and imperceptibility of the existing coverless image information hiding, a generative coverless image information hiding algorithm based on fractal theory is proposed in this paper. Firstly, four fractal image generation methods are analyzed, and the relationship between the coverless information hiding and these methods is ...
Xiang Zhang +3 more
openaire +2 more sources

