LLMs Demonstrate Strong Capability for Covert Text Steganography

Forensic Summary

Research highlighted by Bruce Schneier confirms that LLMs are highly effective at embedding hidden messages within seemingly normal text, a technique known as text-in-text steganography. This capability raises significant concerns for covert communications, data exfiltration, and the evasion of AI content moderation systems. Even small models with ~4 billion parameters demonstrate robust encoding and decoding of obfuscated language, lowering the barrier for adversarial misuse.

Read the full technical deep-dive on Grid the Grey: https://gridthegrey.com/posts/llms-demonstrate-strong-capability-for-covert-text-steganography/