Deep learning based active image steganalysis: a review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-023-02203-9.pdf
Reference85 articles.
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2. Bagnall RJ (2002) Reversing the steganography myth in terrorist operations: the asymmetrical threat of simple intelligence dissemination techniques using common tools. Sans Inf Secur Read Room 19:1–16
3. Bas P, Filler T, Pevný T (2011) Break our steganographic system: the ins and outs of organizing BOSS. In: lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 6958 LNCS, pp 59–70. doi: https://doi.org/10.1007/978-3-642-24178-9_5
4. Bedi P, Singhal A (2022) Estimating cover image for Universal payload region detection in Stego Images. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/J.JKSUCI.2022.01.010
5. Bengio Y, Louradour J, Collobert R, and Weston J (2009) Curriculum learning. In: proceedings of the 26th annual international conference on machine learning. vol 382, pp 41–48. doi: https://doi.org/10.1145/1553374.1553380
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