The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring

Jailbreak attacks -- adversarial prompts that bypass LLM alignment through purely linguistic manipulation -- pose a growing operational security threat, yet the field lacks large-scale, reproducible infrastructure for generating, categorizing, and evaluating them systematically. This paper addresses that gap with three contributions. (1) Large-scale compositional jailbreak dataset. We construct 114,000 adversarial prompts by applying 912 composing strategies to 125 harmful seed prompts from Jail

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ethics.ai (9 May 2026), “The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring,” evidence record 4643, https://ethics.ai/record/4643 (originally published by arXiv).

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