AIBearisharXiv – CS AI · 10h ago7/10
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Seed Hijacking of LLM Sampling and Quantum Random Number Defense
Researchers demonstrate SeedHijack, a supply-chain attack exploiting pseudorandom number generators in LLM sampling to inject arbitrary tokens without modifying model weights, achieving 99.6% success rates across multiple models. A quantum random number generator-based defense is proposed that neutralizes the attack with minimal performance overhead.