Author:
Shi Haichao,Zhang Xiao-Yu,Wang Shupeng,Fu Ge,Tang Jianqi
Publisher
Springer International Publishing
Reference29 articles.
1. Abadi, M., Andersen, D.G.: Learning to protect communications with adversarial neural cryptography. CoRR, abs/1610.06918 (2016)
2. Holub, V., Fridrich, J.J.: Designing steganographic distortion using directional filters. In: IEEE International Workshop on Information Forensics and Security, WIFS 2012, Costa Adeje, Tenerife, Spain, pp. 234–239 (2012)
3. Holub, V., Fridrich, J.J., Denemark, T.: Universal distortion function for steganography in an arbitrary domain. EURASIP J. Inf. Secur. 2014, 1 (2014)
4. Lecture Notes in Computer Science;T Pevný,2010
5. Xu, G., Wu, H., Shi, Y.: Structural design of convolutional neural networks for steganalysis. IEEE Signal Process. Lett. 23(5), 708–712 (2016)
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