ENHANCEMENT OF CODED SPEECH USING NEURAL NETWORK-BASED SIDE INFORMATION




A Character Based Steganography Using Masked Language Modeling

In this study, a steganography method based on BERT transformer model is proposed for hiding text data in cover text.The aim is to hide information by replacing specific words within the text using BERT’s masked language modeling liftmaster 850 receiver (MLM) feature.In this study, two models, fine-tuned for English and Turkish, are utilized

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