Improving security for image steganography using content-adaptive adversarial perturbations
Author:
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04321-6.pdf
Reference49 articles.
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3. Li B, Li Z, Zhou S, Tan S, Zhang X (2018) New steganalytic features for spatial image steganography based on derivative filters and threshold lbp operator. IEEE Trans Inf Forensic Secur 13(5):1242–1257. https://doi.org/10.1109/tifs.2017.2780805
4. Pevný T, Bas P, Fridrich J (2010a) Steganalysis by subtractive pixel adjacency matrix. IEEE Trans Inf Forensic Secur 5(2):215–224. https://doi.org/10.1109/Tifs.2010.2045842
5. Fridrich J, Kodovský J (2012) Rich models for steganalysis of digital images. IEEE Trans Inf Forensic Secur 7(3):868–882. https://doi.org/10.1109/tifs.2012.2190402
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