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Summon a demon and bind it: A grounded theory of LLM red teaming

https://doi.org/10.1371/journal.pone.0314658
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119644682openalex-snapshot
Security Engineering: A Guide to Building Dependable Distributed Systems
inferredcites →https://doi.org/10.1007/978-1-4471-5346-7_1openalex-snapshot
“How Many Bloody Examples Do You Want?” Fieldwork and Generalisation
inferredcites →https://doi.org/10.1007/bf00988593openalex-snapshot
Grounded theory research: Procedures, canons, and evaluative criteria
inferredcites →https://doi.org/10.1007/bf01405730openalex-snapshot
Dilemmas in a general theory of planning
inferredcites →https://doi.org/10.1080/2159676x.2017.1331501openalex-snapshot
The think aloud method: what is it and how do I use it?
inferredcites →https://doi.org/10.1109/access.2019.2941376openalex-snapshot
A Backdoor Attack Against LSTM-Based Text Classification Systems
inferredcites →https://doi.org/10.1145/1124772.1124814openalex-snapshot
To have and to hold
inferredcites →https://doi.org/10.1145/1852786.1852824openalex-snapshot
Gender differences and programming environments
inferredcites →https://doi.org/10.1145/3415234openalex-snapshot
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration
inferredcites →https://doi.org/10.1145/3442188.3445922openalex-snapshot
On the Dangers of Stochastic Parrots
inferredcites →https://doi.org/10.1145/3461778.3462060openalex-snapshot
Collection of Metaphors for Human-Robot Interaction
inferredcites →https://doi.org/10.1145/3527927.3532813openalex-snapshot
How Researchers Manage Ideas
inferredcites →https://doi.org/10.1145/3531146.3533088openalex-snapshot
Taxonomy of Risks posed by Language Models
inferredcites →https://doi.org/10.1145/3544549.3585657openalex-snapshot
Designing Participatory AI: Creative Professionals’ Worries and Expectations about Generative AI
inferredcites →https://doi.org/10.1145/3591196.3593515openalex-snapshot
The Prompt Artists
inferredcites →https://doi.org/10.1145/3600211.3604673openalex-snapshot
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
inferredcites →https://doi.org/10.1145/3609326openalex-snapshot
Metaphors in Voice User Interfaces: A Slippery Fish
inferredcites →https://doi.org/10.1145/3630106.3659040openalex-snapshot
From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
inferredcites →https://doi.org/10.1145/3656156.3665432openalex-snapshot
Hacc-Man: An Arcade Game for Jailbreaking LLMs
inferredcites →https://doi.org/10.1145/3658644.3670388openalex-snapshot
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
inferredcites →https://doi.org/10.1145/3663530.3665021openalex-snapshot
A Hitchhiker’s Guide to Jailbreaking ChatGPT via Prompt Engineering
inferredcites →https://doi.org/10.1146/annurev.psych.53.100901.135153openalex-snapshot
Motivational Beliefs, Values, and Goals
inferredcites →https://doi.org/10.1177/1524839915580941openalex-snapshot
Qualitative Inquiry and Research Design: Choosing Among Five Approaches
inferredcites →https://doi.org/10.1371/journal.pone.0052961openalex-snapshot
Natural Language Metaphors Covertly Influence Reasoning
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.225openalex-snapshot
Red Teaming Language Models with Language Models
inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.35openalex-snapshot
Handling and Presenting Harmful Text in NLP Research
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.302openalex-snapshot
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.143openalex-snapshot
Attack Prompt Generation for Red Teaming and Defending Large Language Models
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.773openalex-snapshot
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
inferredcites →https://doi.org/10.18653/v1/2024.naacl-long.118openalex-snapshot
A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
inferredcites →https://doi.org/10.3389/fpsyg.2020.00198openalex-snapshot
Conceptual Metaphors for Designing Smart Environments: Device, Robot, and Friend
inferredcites →https://doi.org/10.3390/app14167150openalex-snapshot
Open Sesame! Universal Black-Box Jailbreaking of Large Language Models
inferredcites →https://doi.org/10.4324/9781003492276-4openalex-snapshot
Qualitative interviewing
inferredcites →https://doi.org/10.4324/9781315237473openalex-snapshot
The Reflective Practitioner
inferredcites →https://doi.org/10.48550/arxiv.1802.08195openalex-snapshot
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
inferredcites →https://doi.org/10.6028/nist.ai.100-2e2023openalex-snapshot
Adversarial machine learning :

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5393987openalex-extracted
The Layered Injection Model of Algorithmic Bias as a Conceptual Framework to Understand Biases Impacting the Output of Text-To-Image Models
inferred← citeshttps://doi.org/10.5281/zenodo.19831618openalex-extracted
The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture
inferred← citeshttps://doi.org/10.1109/icaic67076.2026.11395786openalex-snapshot
Jailbreaking Large Language Models: Techniques, Trends, Defenses, and Open Challenges
inferred← citeshttps://doi.org/10.1145/3757641openalex-snapshot
Organization Matters: A Qualitative Study of Organizational Dynamics in Red Teaming Practices For Generative AI
inferred← citeshttps://doi.org/10.1145/3772363.3778755openalex-snapshot
HCI-TERRA: HCI Towards EnviRonmentally Responsible AI
inferred← citeshttps://doi.org/10.1145/3805689.3806751openalex-snapshot
How Probing for Problems and Bias Affects Perceptions of AI Chatbot Trustworthiness
inferred← citeshttps://doi.org/10.1145/3805689.3812362openalex-snapshot
Red teaming with faith leaders: expanding digital safety and accountability to frontiers of care
inferred← citeshttps://doi.org/10.1145/3805689.3812379openalex-snapshot
Everyday Auditing of TikTok's Generative AI Manga Filter
inferred← citeshttps://doi.org/10.1162/tacl_a_00762openalex-snapshot
NLP Security and Ethics, in the Wild
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