FADRW is a loss function framework that applies dynamic reweighting to counter decision bias and feature-aware modulation to improve separability of subtle steganographic features in few-shot settings.
Generative text steganog- raphy with large language model,
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FADRW: A Feature-Aware Modulated and Dynamically Reweighted Loss for Few-Shot Linguistic Steganalysis
FADRW is a loss function framework that applies dynamic reweighting to counter decision bias and feature-aware modulation to improve separability of subtle steganographic features in few-shot settings.