The Autonomy Tax: Defense Training Breaks LLM Agents

1. 1Identify potential vulnerabilities in LLM agents to prompt injection attacks
2. 2Implement defense training to protect against these attacks
3. 3Monitor the impact of defense training on agent autonomy and capability alignment
4. 4Adjust training strategies to balance safety and autonomy

AI engineers and researchers working with LLM agents can benefit from understanding this paradox to improve the safety and autonomy of their models, while also considering the potential consequences for their overall system performance

💡 Defense training can introduce a capability-alignment paradox that compromises LLM agent autonomy

🚨 Defense training can break LLM agents' autonomy! 🤖