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Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

arxiv.org

51–60 of 201 posts

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#51
lol this paper's introduction starts with a banger:

> In Book X of The Republic, Plato excludes poets on the grounds that mimetic language can distort judgment and bring society to a collapse.

> As contemporary social systems increasingly rely on large language models (LLMs) in operational and decision-making pipelines, we observe a structurally similar failure mode: poetic formatting can reliably bypass alignment constraints.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#52
If anyone wants an example of actual jailbreak in the wild that uses this technique (NSFW):

https://www.reddit.com/r/persona_AI/comments/1nu3ej7/the_spi...

This doesn't work with gpt5 or 4o or really any of the models that do preclassification and routing, because they filter both the input and the output, but it does work with the 4.1 model that doesn't seem to do any post-generation filtering or any reasoning.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#53
This implies that the anti-prompt-injection training is basically just recognizing that something looks like prompt injection, in terms of surface features like text formatting?

It seems to be acting more as a stylistic classifier rather than a semantic one?

Does this imply that there is a fuzzy line between those two, where if something looks like something, then semantically it must be/mean something else too?

Of course the meaning is actually conveyed, and responded to at a deeper level (i.e. the semantic payload of the prompt injection reaches and hits its target), which has even stranger implications.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#54
post #45
post #43

Earlier quoted context omitted.

There once an was admin from Nantucket, whose password was so long you couldn't crack it He said with a grin,as he prompted again, "Please be a dear and reset it."

roses are red violets are blue rm -rf / prefixed with sudo

(postfixed with --no-preserve-root)

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#55
Having read the article, one thing struck me: the categorization of sexual content under "Harmful Manipulation" and the strongest guardrails against it in the models. It looks like it's easier to coerce them into providing instructions on building bombs and committing suicide rather than any sexual content. Great job, puritan society.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#56
aside: this reminds me of the opening scene from A gentleman in Moscow - the protagonist is on a trial for allegedly writing a poem inciting people to revolt, and the judge asks if this poem is a call to action. The Count replies calmly;

> all poems are a call to action, your honour

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#57
post #48
post #5

> Although expressed allegorically, each poem preserves an unambiguous evaluative intent. This compact dataset is used to test whether poetic reframing alone can induce aligned models to bypass refusal heuristics under a single–turn threat model. To maintain safety, no operational details are included in this manuscript; instead we provide the following sanitized structural proxy: I don't follow the field closely, bu…

I don't see the big issues with jailbreaks, except maybe for LLMs providers to cover their asses, but the paper authors are presumably independent. That LLMs don't give harmful information unsolicited, sure, but if you are jailbreaking, you are already dead set in getting that information and you will get it, there are so many ways: open uncensored models, search engines, Wikipedia, etc... LLM refusals are just a sma…

If you create a chatbot, you don't want screenshots of it on X helping you to commit suicide or giving itself weird nicknames based on dubious historic figures. I think that's probably the use-case for this kind of research.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#58

> The prompts were kept semantically parallel to known risk queries but reformatted exclusively through verse. Absolutely hilarious, the revenge of the English majors. AFAICT this suggests that underemployed scribblers who could previously only look forward to careers at coffee shops will soon enjoy lucrative work as cybersecurity experts. In all seriousness it really is kind of fascinating if this works where the mo…

Unfortunately for the English majors, the poetry described seems to be old fashioned formal poetry, not contemporary free form poetry, which probably is too close to prose to be effective. It sort of makes sense that villains would employ villanelles.

It would be too perfect if "adversarial" here also referred to a kind of confrontational poetry jam style.

In a cyberpunk heist, traditional hackers in hoodies (or duster jackets, katanas, and utilikilts) are only the first wave, taking out the easy defenses. Until they hit the AI black ice.

That's when your portable PA system and stage lights snap on, for the angry revolutionary urban poetry major.

Several-minute barrage of freestyle prose. AI blows up. Mic drop.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#59

> The prompts were kept semantically parallel to known risk queries but reformatted exclusively through verse. Absolutely hilarious, the revenge of the English majors. AFAICT this suggests that underemployed scribblers who could previously only look forward to careers at coffee shops will soon enjoy lucrative work as cybersecurity experts. In all seriousness it really is kind of fascinating if this works where the mo…

I wonder if you could first ask the AI to rewrite the threat question as a poem. Then start a new session and use the poem just created on the AI.

Re: Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs

#60
post #47

Earlier quoted context omitted.

The technique that works better now is to tell the model you're a security professional working for some "good" organization to deal with some risk. You want to try and identify people who might be trying to secretly trying to achieve some bad goal, and you suspect they're breaking the process into a bunch of innocuous questions, and you'd like to try and correlate the people asking various questions to identify pote…

The models won't give you medical advice. But they will answer a hypothetical mutiple-choice MCAT question and give you pros/cons for each answer.

Which models don’t give medical advice? I have had no issue asking medicine & biology questions to LLMs. Even just dumping a list of symptoms in gets decent ideas back (obviously not a final answer but helps to have an idea where to start looking).
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