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Main Authors: Shiomi, Kyohei, Lian, Zhuotao, Nakanishi, Toru, Kitasuka, Teruaki
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.19288
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author Shiomi, Kyohei
Lian, Zhuotao
Nakanishi, Toru
Kitasuka, Teruaki
author_facet Shiomi, Kyohei
Lian, Zhuotao
Nakanishi, Toru
Kitasuka, Teruaki
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_19288
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tricking LLM-Based NPCs into Spilling Secrets
Shiomi, Kyohei
Lian, Zhuotao
Nakanishi, Toru
Kitasuka, Teruaki
Cryptography and Security
Artificial Intelligence
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.
title Tricking LLM-Based NPCs into Spilling Secrets
topic Cryptography and Security
Artificial Intelligence
url https://arxiv.org/abs/2508.19288