The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual information across ...

Based on these observations, StegGuard learns a pair of secrets encoder and decoder as the fingerprint of the victim model. Additionally, a frequency-domain channel attention embedding block is ...