Lightweight AAC Audio Steganalysis Model Based on ResNeXt

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2022/9074771/figures/9074771.fig.007a.svgz" name="9074771.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>ResNeXtBlock1</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2022/9074771/figures/9074771.fig.007b.svgz" name="9074771.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>ResNeXtBlock2</td></tr></table>

<div>Structure of ResNeXtBlock1 and ResNeXtBlock2.</div>

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Figure 7

Figure 7: Lightweight AAC Audio Steganalysis Model Based on ResNeXt 