DASM is a new optimizer integrating domain-supervised contrastive learning and sharpness-aware minimization with adaptive gap modulation to boost generalization and robustness in multi-domain voice stream steganalysis.
An approach to information hiding in low bit-rate speech stream,
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DASM: Domain-Aware Sharpness Minimization for Multi-Domain Voice Stream Steganalysis
DASM is a new optimizer integrating domain-supervised contrastive learning and sharpness-aware minimization with adaptive gap modulation to boost generalization and robustness in multi-domain voice stream steganalysis.