Linguistic Steganography

Linguistic steganography focuses on concealing secret messages within natural language text, aiming to create undetectable covert communication. Current research emphasizes developing robust steganographic methods using large language models (LLMs) and improving steganalysis techniques, often employing deep learning architectures to detect hidden messages. This field is significant due to its implications for information security and privacy, particularly in the context of increasingly prevalent AI-driven communication, and is driving advancements in both natural language processing and adversarial machine learning.