Computer Science > Computation and Language
[Submitted on 10 Nov 2023 (v1), last revised 13 Nov 2023 (this version, v2)]
Title:Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild
View PDFAbstract:Engaging in the deliberate generation of abnormal outputs from large language models (LLMs) by attacking them is a novel human activity. This paper presents a thorough exposition of how and why people perform such attacks. Using a formal qualitative methodology, we interviewed dozens of practitioners from a broad range of backgrounds, all contributors to this novel work of attempting to cause LLMs to fail. We relate and connect this activity between its practitioners' motivations and goals; the strategies and techniques they deploy; and the crucial role the community plays. As a result, this paper presents a grounded theory of how and why people attack large language models: LLM red teaming in the wild.
Submission history
From: Leon Derczynski [view email][v1] Fri, 10 Nov 2023 18:52:58 UTC (13,471 KB)
[v2] Mon, 13 Nov 2023 17:00:40 UTC (13,471 KB)
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