Researchers reveal a novel vulnerability in LLMs where specially crafted Engorgio prompts can dramatically increase computation costs and inference latency.

• Attackers can design prompts that force LLMs to generate unusually long responses
• These attacks could potentially disrupt services and increase operational costs
• The research demonstrates practical methods to generate these adversarial prompts
• The findings highlight the need for robust defenses against inference-time attacks

This security research matters because as LLMs become more integrated into critical systems, understanding and mitigating such vulnerabilities is essential for maintaining reliable AI services.

An Engorgio Prompt Makes Large Language Model Babble on