2019
RHFCN: : Fully CNN-based Steganalysis of MP3 with Rich High-pass Filtering
ICASSP 2019accepted
Recent studies have shown that convolutional neural networks (CNNs) can boost the performance of audio steganalysis. In this paper, we propose a well-designed fully CNN architecture for MP3 steganalysis based on rich high-pass filtering (HPF). On the one hand, multi-type HPFs are employed for "resid…