Tricking LLM-Based NPCs into Spilling Secrets
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Abstract (arXiv)
Large Language Models (LLMs) are increasingly used to generate dynamic dialogue for game NPCs. However, their integration raises new security concerns. In this study, we examine whether adversarial prompt injection can cause LLM-based NPCs to reveal hidden background secrets that are meant to remain undisclosed.
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- 2024Exploring Vulnerabilities and Protections in Large Language Models: A Survey
- 2025A Survey of Attacks on Large Language Models
- 2023Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
- 2024Coercing LLMs to do and reveal (almost) anything
- 2025Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
- 2024Large Language Model Sentinel: LLM Agent for Adversarial Purification
- 2024Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
- 2025Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential