Neural Linguistic Steganography

Neural linguistic steganography aims to securely hide information within natural language text using neural networks, focusing on improving the reliability and security of hidden message transmission. Current research heavily addresses the "segmentation ambiguity" problem arising from subword-based language models, which can lead to decoding errors at the receiver's end; solutions involve novel techniques to ensure consistent tokenization and prevent detection. Overcoming these challenges is crucial for advancing the field and enabling more robust and practical applications of covert communication within seemingly innocuous text.