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Deep learning for steganalysis based on filter diversity selection

  • Kai Zhong
  • Guorui Feng
  • Liquan Shen
  • Jun Luo
Letter
  • 16 Downloads

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grants Nos. U1536109, 61671282, 61373151, 61525305).

References

  1. 1.
    Liu J, Tian Y, Han T, et al. Stego key searching for LSB steganography on JPEG decompressed image. Sci China Inf Sci, 2016, 59: 032105CrossRefGoogle Scholar
  2. 2.
    Luo X Y, Song X F, Li X L, et al. Steganalysis of HUGO steganography based on parameter recognition of syndrome-trellis-codes. Multimed Tools Appl, 2016, 75: 13557–13583CrossRefGoogle Scholar
  3. 3.
    Fridrich J, Kodovsky J. Rich models for steganalysis of digital images. IEEE Trans Inform Forensic Secur, 2012, 7: 868–882CrossRefGoogle Scholar
  4. 4.
    Ma Y Y, Luo X Y, Li X L, et al. Selection of rich model steganalysis features based on decision rough set -positive region reduction. IEEE Trans Circ Syst Video Tech, 2018. doi: 10.1109/TCSVT.2018.2799243Google Scholar
  5. 5.
    Kodovsky J, Fridrich J, Holub V. Ensemble classifiers for steganalysis of digital media. IEEE Trans Inform Forensic Secur, 2012, 7: 432–444CrossRefGoogle Scholar
  6. 6.
    Xu G, Wu H Z, Shi Y Q. Structural design of convolutional neural networks for steganalysis. IEEE Signal Process Lett, 2016, 23: 708–712CrossRefGoogle Scholar
  7. 7.
    Xu G, Wu H Z, Shi Y Q. Ensemble of CNNs for steganalysis: an empirical study. In: Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016. 103–107Google Scholar
  8. 8.
    Holub V, Fridrich J, Denemark T. Universal distortion function for steganography in an arbitrary domain. EURASIP J Info Secur, 2014, 2014: 1CrossRefGoogle Scholar
  9. 9.
    Holub V, Fridrich J. Designing steganographic distortion using directional filters. In: Proceedings of IEEE International Workshop on Information Forensics and Security (WIFS), 2012. 234–239Google Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Kai Zhong
    • 1
    • 2
  • Guorui Feng
    • 1
    • 2
  • Liquan Shen
    • 1
    • 2
  • Jun Luo
    • 3
  1. 1.Shanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghaiChina
  2. 2.School of Communication and Information EngineeringShanghai UniversityShanghaiChina
  3. 3.School of Mechatronic Engineering and AutomationShanghai UniversityShanghaiChina

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