Survey details linguistic steganography advancements driven by LLMs

A new survey paper published on arXiv details the advancements and challenges in linguistic steganography, a field focused on hiding secret messages within natural language text. The paper categorizes 148 steganographic methods and 60 countermeasures, highlighting five key paradigm shifts brought about by large language models (LLMs). These shifts include a move from covertext modification to prompt-only generation, from heuristic to provable security, and from symmetric to asymmetric access to language models. AI

IMPACT This survey provides a roadmap for responsible development and application of linguistic steganography techniques in the era of large language models.

RANK_REASON The cluster contains a survey paper detailing methods and challenges in a specific research area (linguistic steganography). [lever_c_demoted from research: ic=1 ai=1.0]

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