AIBearisharXiv – CS AI · 18h ago7/10
🧠
Steganography Without Modification: Hidden Communication via LLM Seeds
Researchers discovered a steganographic vulnerability in widely-deployed Large Language Models that allows hidden messages to be embedded in generated text through PRNG seeds without modifying model weights or outputs. The attack recovers 32-bit seeds with up to 100% accuracy in known-prompt scenarios within seconds, raising security concerns about LLM inference systems.