DASM is a new optimizer that seeks flat minima while preserving inter-domain feature separation via contrastive learning and adaptive weighting for improved generalization in multi-domain voice stream steganalysis.
Improving security of quantization-index- modulation steganography in low bit-rate speech streams,
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DASM: Domain-Aware Sharpness Minimization for Multi-Domain Voice Stream Steganalysis
DASM is a new optimizer that seeks flat minima while preserving inter-domain feature separation via contrastive learning and adaptive weighting for improved generalization in multi-domain voice stream steganalysis.