Hacc-Man: An Arcade Game for Jailbreaking LLMs
On the map: LLM safety and security → Jailbreaking
Abstract (arXiv)
The recent leaps in complexity and fluency of Large Language Models (LLMs) mean that, for the first time in human history, people can interact with computers using natural language alone. This creates monumental possibilities of automation and accessibility of computing, but also raises severe security and safety threats: When everyone can interact with LLMs, everyone can potentially break into the systems running LLMs. All it takes is creative use of language. This paper presents Hacc-Man, a game which challenges its players to "jailbreak" an LLM: subvert the LLM to output something that it is not intended to. Jailbreaking is at the intersection between creative problem solving and LLM security. The purpose of the game is threefold: 1. To heighten awareness of the risks of deploying fragile LLMs in everyday systems, 2. To heighten people's self-efficacy in interacting with LLMs, and 3. To discover the creative problem solving strategies, people deploy in this novel context.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in Jailbreaking, one of 12 directions in LLM safety and security. Builds on 5 of its 27 references that are in the map. First posted on arXiv 24 May 2024.
Builds on
5 of 27 references.
References · 5
- 2024A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systemscited by 74
- 2024Against The Achilles' Heel: A Survey on Red Teaming for Generative Modelscited by 55
- 2023Assessing Language Model Deployment with Risk Cardscited by 30
- 2023Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AIcited by 20
- 2023Summon a Demon and Bind it: A Grounded Theory of LLM Red Teamingcited by 20
Built on by
Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)cited by 44
- 2024GPT for Games: An Updated Scoping Review (2020-2024)cited by 10
- 2025Can Small Language Models Reliably Resist Jailbreak Attacks? A Comprehensive Evaluationcited by 3
- 2026AI Native Games: A Survey and Roadmapcited by 0
- 2026AI Native Games: A Survey and Roadmap1 Jul 2026
- 2025Can Small Language Models Reliably Resist Jailbreak Attacks? A Comprehensive Evaluation9 Mar 2025
- 2024GPT for Games: An Updated Scoping Review (2020-2024)1 Nov 2024
- 2024Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)20 Jul 2024