Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)

1. 1Implement Structured Queries (StruQ) to constrain user input
2. 2Use Preference Optimization (SecAlign) to align user preferences with intended behavior
3. 3Evaluate the effectiveness of StruQ and SecAlign in preventing prompt injection attacks
4. 4Integrate these defenses into LLM-integrated applications

AI engineers and researchers can benefit from this approach to secure LLM-integrated applications, while product managers can consider implementing these defenses in their products

💡 Structured Queries and Preference Optimization can be used to defend against prompt injection attacks in LLMs

🚫 Defend against prompt injection attacks with StruQ and SecAlign! 💡