HIGHLIGHTS
- who: Xuan Wang and collaborators from the College of Electronic Engineering, National University of Defense Technology, Hefei, China have published the research work: Wet Paper Coding-Based Deep Neural Network Watermarking, in the Journal: Sensors 2022, 22, 3489. of /2022/
- what: To obtain the important parameters more easily the authors propose an optimized probabilistic selection strategy (OPSS). The experiment shows that the proposed scheme has high fidelity and strong robustness along with a high embedding rate and the ability to prevent malicious tampering. The authors show that the proposed scheme is suitable for most deep . . .
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