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Ensemble Deep Learning Features for Real-World Image Steganalysis
2020
KSII Transactions on Internet and Information Systems
The Alaska competition provides an opportunity to study the practical problems of real-world steganalysis. Participants are required to solve steganalysis involving various embedding schemes, inconsistency JPEG Quality Factor and various processing pipelines. In this paper, we propose a method to ensemble multiple deep learning steganalyzers. We select SRNet and RESDET as our base models. Then we design a three-layers model ensemble network to fuse these base models and output the final
doi:10.3837/tiis.2020.11.017
fatcat:jxxp7wophrfr5j47vivqws4fui