A three-network GAN is trained to embed secret audio into carrier audio, producing high-fidelity steganographic audio with claimed robustness and security.
”Rich models for steganalysis of digital im- ages.” IEEE Transactions on Information Forensics and Security 7.3 (2012): 868- 882
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MM 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Heard More Than Heard: An Audio Steganography Method Based on GAN
A three-network GAN is trained to embed secret audio into carrier audio, producing high-fidelity steganographic audio with claimed robustness and security.