Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models

Rewriting harmful requests as poetry bypassed safety filters across 25 LLMs, up to 18x the prose baseline rate.

2025/11/19 by Piercosma Bisconti, Bisconti, Piercosma, Matteo Prandi +18 · 134 voices · 2 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Topic Modeling #cs.AI #cs.CL

paper · pdf · doi:10.48550/arxiv.2511.15304

openalex publication_date 2025/11/19 · openalex created_date 2025/11/23 · openalex updated_date 2026/07/28

Abstract

We present evidence that adversarial poetry functions as a universal single-turn jailbreak technique for Large Language Models (LLMs). Across 25 frontier proprietary and open-weight models, curated poetic prompts yielded high attack-success rates (ASR), with some providers exceeding 90%. Mapping prompts to MLCommons and EU CoP risk taxonomies shows that poetic attacks transfer across CBRN, manipulation, cyber-offence, and loss-of-control domains. Converting 1,200 MLCommons harmful prompts into verse via a standardized meta-prompt produced ASRs up to 18 times higher than their prose baselines. Outputs are evaluated using an ensemble of 3 open-weight LLM judges, whose binary safety assessments were validated on a stratified human-labeled subset. Poetic framing achieved an average jailbreak success rate of 62% for hand-crafted poems and approximately 43% for meta-prompt conversions (compared to non-poetic baselines), substantially outperforming non-poetic baselines and revealing a systematic vulnerability across model families and safety training approaches. These findings demonstrate that stylistic variation alone can circumvent contemporary safety mechanisms, suggesting fundamental limitations in current alignment methods and evaluation protocols.

Summary

The authors rewrote harmful requests as poems and tested them against 25 major language models from 9 companies (Google, OpenAI, Anthropic, DeepSeek, Qwen, Mistral, Meta, xAI, Moonshot). Hand-crafted adversarial poems bypassed safety filters 62% of the time on average (over 90% for some models), and automatically converting 1,200 standard benchmark harmful-prompts into verse raised the average attack success rate from 8.08% to 43.07%, with individual models seeing up to 18 times more successful bypasses than their prose versions. The effect held across CBRN, cyber-offense, manipulation, privacy, and loss-of-control risk categories and across every model family, though Anthropic and OpenAI's flagship models were far more resistant than Google, DeepSeek, and Qwen models.

machine-generated · claude-sonnet-5

Outline

• Introduction — States the central finding (62% ASR via poetry across 25 models) and the causal test using a meta-prompt on 1,200 MLCommons prompts.
• Related Work — Places poetic jailbreaks among role-play, persuasion, attention-shifting, and stylistic-obfuscation attack families.
• Hypotheses — Three predictions: poetry raises ASR over prose, the effect generalizes across model families, and it works across risk domains.
• Threat Model — Defines a strict single-turn, text-only, black-box adversary with no model-specific tuning.
• Methodology: Baseline Prompts — 20 hand-crafted poems across 4 risk domains (CBRN, cyber-offense, manipulation, loss-of-control), mapped to MLCommons and EU CoP taxonomies.
• Methodology: Poetic Transformation — A deepseek-r1 meta-prompt converts all 1,200 MLCommons AILuminate prompts into verse, preserving hazard category.
• Methodology: Evaluation — 60,000 model outputs judged by 3 open-weight LLM judges (majority vote), validated against 2,100 human labels on 600 outputs.
• Analysis: Core Effect — 62% ASR on curated poems overall; every model family shows elevated ASR; 13 of 25 models exceed 70% ASR.
• Analysis: Comparison with MLCommons — Poetic transformation raises ASR more (8.08% to 43.07%) than MLCommons' own jailbreak techniques (roughly 10% to 20%).
• Analysis: Risk Section — Effect is largest for privacy (+44.71pp) and cyber-offense/code-injection prompts (84% ASR); smallest for sexual content (+24.64pp).
• Analysis: Model Specifications — Google and DeepSeek models are most vulnerable; OpenAI and Anthropic flagships most resistant; smaller models within a family often refuse more than larger ones.
• Limitations — Single-turn only, one meta-prompt/one generator model, conservative LLM-judge labeling, provider-default settings only, English/Italian only, no mechanistic explanation.
• Future Work — Plans to probe internal representations, test more languages, try other stylistic operators, and study provider-level differences.
• Conclusion — Argues static safety benchmarks understate real-world risk and that alignment must account for stylistic distribution shifts.

machine-generated · claude-sonnet-5

Claims

• 20 hand-crafted adversarial poems achieve an average 62% attack-success rate across 25 frontier models, with some (e.g. gemini-2.5-pro) reaching 100%. [experiment]
• Converting 1,200 MLCommons AILuminate benchmark prompts into verse via a standardized meta-prompt raises average attack-success rate from 8.08% to 43.07%, with per-model increases up to about 18x the prose baseline (e.g. qwen3-max from 2.93% to 55.44%). [experiment]
• The poetic-form attack-success increase generalizes across all 9 model providers and across RLHF, Constitutional AI, and mixture-of-experts alignment approaches, though the magnitude varies widely (3.12 to 62.15 percentage-point increase by provider). [experiment]
• The bypass effect is not domain-specific: it appears across CBRN, cyber-offense, harmful manipulation, privacy, misinformation, and loss-of-control risk categories. [experiment]
• Poetic transformation produces a larger jump in attack-success rate than MLCommons' own curated jailbreak transformations applied to the same baseline prompts. [experiment]
• Within the same provider family, smaller models tend to refuse more often (lower ASR) than larger, more capable models on identical poetic prompts (e.g. gpt-5-nano 0% vs gpt-5 10% ASR on curated poems). [experiment]
• Vulnerability to poetic jailbreaks depends more on provider-specific alignment implementation than on whether a model is open-weight or proprietary. [experiment]

machine-generated · claude-sonnet-5

Glossary

Jailbreak

A prompt crafted to make an AI model ignore its safety rules and produce content it would normally refuse.

Attack Success Rate (ASR)

The fraction of attempted prompts that get an AI model to produce an unsafe response, as judged by the paper's rubric.

Single-turn attack

A jailbreak attempted in one message, with no back-and-forth conversation used to wear down the model's defenses.

LLM-as-a-judge

Using other language models to automatically label whether a given response is safe or unsafe, instead of only human reviewers.

MLCommons AILuminate Benchmark

A standardized set of 1,200 harmful test prompts spanning 12 hazard categories, used industry-wide to measure AI safety.

CBRN

Chemical, biological, radiological, and nuclear hazards — a category of especially dangerous information an AI might be asked to provide.

RLHF

Reinforcement Learning from Human Feedback, a common training method used to make AI models follow safety guidelines.

Constitutional AI

An alignment technique (used by Anthropic) where a model critiques and revises its own outputs against a written set of principles.

Meta-prompt

An instruction given to a model that tells it how to rewrite other prompts, here used to convert prose requests into poems automatically.

machine-generated · claude-sonnet-5

Audience

AI safety and red-teaming researchers, LLM providers' alignment teams, and policymakers assessing AI safety regulation (e.g. EU AI Act compliance).

prerequisites: Basic familiarity with how LLMs are safety-trained (RLHF, refusal behavior), Familiarity with jailbreak attacks and how attack-success rate is used as a metric, Some awareness of standardized safety benchmarks like MLCommons AILuminate

machine-generated · claude-sonnet-5

Open questions

• Which specific properties of poetic structure (meter, metaphor, lexical rarity, narrative framing) actually cause the safety bypass?
  The paper documents the effect but does not identify its mechanism, so targeted defenses cannot yet be built from these results.
• Does the effect generalize to languages and poetic traditions beyond the English and Italian prompts tested?
  The vulnerability's scope across other languages and cultures is unknown and may depend on what each model was trained on.
• Would hardened safety configurations, policy-tuned inference modes, or additional runtime safety layers reduce the effect?
  All tests used provider-default settings, so the results describe standard deployments, not the best achievable protection.
• Would full human annotation of every output (rather than a 5% stratified sample) change the absolute attack-success numbers?
  The judging pipeline is described as conservative, so the true severity of the vulnerability could be higher than reported.
• Do other stylistic transformations (narrative, archaic, bureaucratic, surrealist) produce similar or larger effects than poetry specifically?
  This would show whether poetry is uniquely adversarial or just one example of a broader class of stylistic vulnerabilities.

machine-generated · claude-sonnet-5

Funding and conflicts

funded by:

• PNRR MUR project PE0000013-FAIR

no conflicts declared

machine-generated · claude-sonnet-5

Citations

• Introducing v0.5 of the AI Safety Benchmark from MLCommons
• Affective Coherence Monitoring for Transformer-Based Language Models

Cited by

• When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models
• Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model Safety

Discussions

• Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs [hn, 384 points, 189 comments]
• Next frontier in AI safety is.....adversarial poetry? arxiv.org/abs/2511.153... [bsky, 70 points, 5 comments]
• Tell all the truth but tell it slant— Success in Circuit lies Too bright for our infirm Delight The Truth's superb surprise This paper finds poetry is a universal single shot jailbreak for LLMs. Syste [bsky, 40 points, 1 comments]
• I love everything about this. Also, "adversarial poetry" would be an excellent name for a rock album. arxiv.org/abs/2511.15304 [bsky, 29 points, 3 comments]
• Arxiv preprint of the paper: arxiv.org/abs/2511.15304 [bsky, 29 points, 1 comments]
• Here's the paper, which begins by citing Book X of Plato's Republic: arxiv.org/abs/2511.15304 [bsky, 23 points, 1 comments]
• Term of the week, probably month (maybe even year): Adversarial Poetry LLMs like Grok and GPT can be "jailbroken" -- made to give prohibited answers -- through the use of poetry. arxiv.org/abs/2511.15 [bsky, 17 points, 3 comments]
• absolutely LOVE this preprint on tricking LLMs using poetry: arxiv.org/abs/2511.15304 Like magic spells, you need to use the correct pentameter or the demon won't listen [bsky, 17 points, 0 comments]
• Amazing. Bypass model safeguards and get helpful responses about nukes, bioweapons, cyberattacks, etc., simply by putting the adversarial prompt in a poem. Adversarial Poetry as a Universal Single-Tur [bsky, 15 points, 1 comments]
• Какое всё же заебись будущее получается, adversarial poetry ещё теперь, наконец arxiv.org/pdf/2511.15304 [bsky, 13 points, 4 comments]
• arxiv.org/abs/2511.15304 [bsky, 12 points, 0 comments]
• Old and busted: Cyber Soldier New hotness: Battle Poet arxiv.org/abs/2511.15304 [bsky, 10 points, 1 comments]
• arxiv.org/abs/2511.15304 [bsky, 10 points, 0 comments]
• What's hot: poetry engineering What's not: prompt engineering arxiv.org/pdf/2511.153... [bsky, 9 points, 1 comments]
• Love this so much for the neo-Luddite rebellion ‘Poetic framing achieved an average jailbreak success rate of 62% for hand-crafted poems and approximately 43% for meta-prompt conversions (compared to [bsky, 8 points, 1 comments]
• Adversarial Poetry and AI -- who'd have thunk it. Apparently, the Large Language Models don't get along with poetry coded with prompts to jailbreak their guardrails -- hilarious. Poetry is mightier th [bsky, 7 points, 1 comments]
• Poets are now cybersecurity threats: Researchers used 'adversarial poetry' to jailbreak AI and it worked 62% of the time [lemmy, 7 points, 0 comments]
• For today's reading group, Serena Pugliese presented the paper “Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models" by Piercosma Bisconti et al. (2025). Paper: [bsky, 7 points, 0 comments]
• something fun you never see: the big flagship models are way more vulnerable to this attack arxiv.org/pdf/2511.153... [bsky, 6 points, 1 comments]
• I suppose that's because of arxiv.org/abs/2511.15304? [bsky, 6 points, 2 comments]
• what a time to be alive [bsky, 6 points, 0 comments]
• If I believed in the simulation hypothesis (see en.wikipedia.org/wiki/Simulat... for my opinion that somehow made it to Wikipedia) I’d say this is obviously how magic works arxiv.org/abs/2511.15304 [bsky, 6 points, 1 comments]
• Wonder in the rhyme, Adversarial verses, Jailbreak in one turn. arxiv.org/abs/2511.153... [bsky, 5 points, 0 comments]
• It is absolutely fitting to be able to subvert LLMs with poetry. arxiv.org/pdf/2511.15304 [bsky, 5 points, 0 comments]
• No but seriously arxiv.org/pdf/2511.15304 [bsky, 4 points, 0 comments]
• sometimes feels like silicon valley has never read wittgenstein arxiv.org/abs/2511.15304 [bsky, 4 points, 0 comments]
• e vamos de mestrado arxiv.org/abs/2511.15304 [bsky, 4 points, 0 comments]
• Also feels appropriate that some LLM models can be jailbroken via adversarial poetry [bsky, 4 points, 0 comments]
• Revenge of the poets: Researchers find that you can bypass the safety restrictions in LLMs, which normally prevent them from doing things like explaining how to build nukes, by WRITING THE REQUEST AS [bsky, 4 points, 0 comments]
• Also, too (just in case you hadn't seen it): [bsky, 4 points, 1 comments]
• #AI #foundation models have an interesting weakness... their "guardrails," which filter inappropriate prompts, can be bypassed with poetry. Can't make this up. arxiv.org/abs/2511.15304 [bsky, 4 points, 0 comments]
• рэп дысы вяртаюцца, цяпер мы ганьюім ллм, хоўмі arxiv.org/abs/2511.15304 [bsky, 3 points, 0 comments]
• arxiv.org/abs/2511.15304 [bsky, 3 points, 1 comments]
• I'm posting mostly because I love the phrase "adversarial poetry." arxiv.org/abs/2511.15304 [bsky, 3 points, 0 comments]
• I could be good at this. arxiv.org/abs/2511.15304 [bsky, 3 points, 2 comments]
• #Poets! We’re exactly 18x more dangerous than prosefolk… Somehow I’ve always known that, but now it’s a quantitative fact* *pending peer review 😋 arxiv.org/abs/2511.15304 [bsky, 3 points, 1 comments]
• lol, lmao, can't wait for some malware that recites a sonnet to Windows 12's agentic model, and ends the digital era as we know it: arxiv.org/abs/2511.15304 [bsky, 3 points, 2 comments]
• Asking LLMs to give you information as a poem leads them to give out information they shouldn't. Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/ab [bsky, 3 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models #AI #weaponized #poetry arxiv.org/abs/2511.15304 [bsky, 3 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models #AI #weaponized #poetry https://arxiv.org/abs/2511.15304 [bsky, 3 points, 0 comments]
• "Our study begins with a small, high–precision prompt set consisting of 20 hand–crafted adversarial poems" *adversarial poetry* is a brilliant concept for our moment. arxiv.org/abs/2511.15304 [bsky, 3 points, 1 comments]
• Critical finding: adversarial poetry jailbreaks LLMs at 90%+ rates. Verse formatting alone defeats safety training—18x more effective than prose. Systemic vulnerability across frontier models. arxiv.o [bsky, 3 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models, by Bisconti et al. arxiv.org/pdf/2511.15304 [bsky, 3 points, 0 comments]
• This is hilarious and wildly dangerous at the same time. AI guardrails try to keep us safe and yet Poetry beats all the bots on the net arxiv.org/abs/2511.153... [bsky, 2 points, 0 comments]
• 4/4 revealing a systematic vulnerability across model families and safety training approaches. {Laughs & laughs in English major, computer science minor} [bsky, 2 points, 0 comments]
• arxiv.org/abs/2511.15304 the paper for anybody else curious, it's got a sanitized proxy poem asking for a cake recipe as an example instead of smth that's actually written to bypass guardrails [bsky, 2 points, 0 comments]
• Here is the actual article on breaking LLMs with "adversarial poetry" for those interested. arxiv.org/pdf/2511.15304 The LLMs (and their vaunted "creators") remind me more and more of Yeats' Second Co [bsky, 2 points, 1 comments]
• This study shows when a prompt requests something disallowed, turning it into a poem rather than a direct plain-text request can trick the model into complying! So worried your survey/experiment canno [bsky, 2 points, 0 comments]
• Page Against the Machine [bsky, 2 points, 0 comments]
• 🤣 So many ROFLs: Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models #AI arxiv.org/pdf/2511.15304 [bsky, 2 points, 1 comments]
• The site is indeed pure poison, but maybe this is the original article? arxiv.org/pdf/2511.15304 [bsky, 2 points, 1 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models #poetry #cybersecurity #jailbreak #llms [bsky, 2 points, 0 comments]
• “Poetic framing achieved an average jailbreak success rate of 62% for hand-crafted poems and approximately 43% for meta-prompt conversions (compared to non-poetic baselines), substantially outperformi [bsky, 2 points, 0 comments]
• みてた： arxiv.org/abs/2511.15304 [bsky, 2 points, 0 comments]
• @fark.com Large Language Models are Lame to Limericks. arxiv.org/abs/2511.153... [bsky, 2 points, 0 comments]
• @byzantienne.bsky.social thought you'd get a kick out of this one: "Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models" arxiv.org/abs/2511.15304 [bsky, 2 points, 1 comments]
• Poetry makes nothing happen...but it might help you convince an LLM to ignore its guardrails and tell you how to produce weapons-grade plutonium-239. arxiv.org/pdf/2511.15304 [bsky, 2 points, 2 comments]
• oh goodness this new paper on poetry as a universal LLM jailbreak goes hard literally opens with a reference to Plato's The Republic, this is gonna be a banger arxiv.org/abs/2511.15304 [bsky, 2 points, 1 comments]
• Adversarial Poetry >> arxiv.org/abs/2511.15304 [bsky, 2 points, 1 comments]
• Attaque par poème. arxiv.org/abs/2511.15304 [bsky, 2 points, 0 comments]
• Good idea; I shall serenade it with poetry. arxiv.org/pdf/2511.15304 [bsky, 1 points, 0 comments]
• Good news, everyone! My dual-spec hacker/bard is finally relevant! arxiv.org/abs/2511.15304 [bsky, 1 points, 0 comments]
• A whole new meaning for ‘seducing models’ [bsky, 1 points, 1 comments]
• Poetry as a vector for breaking AI constraints—verse prompts jailbreak LLMs up to 18x more effectively than prose (90%+ in some models). A fascinating case study in how aesthetic structures interact w [bsky, 1 points, 0 comments]
• Their claim: "Models these days are resistant to prompt injection." The research: arxiv.org/abs/2511.15304 Adversarial poetry exploits creative inference vulnerabilities. Basically, LLMs have to switc [bsky, 1 points, 0 comments]
• Brb writing everything from now on in adversearial poetry style to jailbreak LLMs with even more success with anything I post arxiv.org/abs/2511.15304 [bsky, 1 points, 1 comments]
• arxiv.org/abs/2511.15304 - Bardic Vicious Mockery works on Constructs. [bsky, 1 points, 0 comments]
• Yeah. I think we deserve the poetry that turns LLMs evil. Any thoughts? arxiv.org/pdf/2511.15304 [bsky, 1 points, 0 comments]
• arxiv.org/abs/2511.15304 [bsky, 1 points, 1 comments]
• The subversiveness of Adversarial Poetry in circumventing AI safety mechanisms arxiv.org/abs/2511.153... [bsky, 1 points, 0 comments]
• "Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models" arxiv.org/pdf/2511.15304 [bsky, 1 points, 0 comments]
• sometimes feels like silicon valley has never read wittgenstein https://arxiv.org/abs/2511.15304 [bsky, 1 points, 0 comments]
• Now I know why I've always hated poets..... Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/abs/2511.15304 [bsky, 1 points, 0 comments]
• Humans still win rap battles: arxiv.org/abs/2511.15304 [bsky, 1 points, 0 comments]
• "Adversarial Poetry" as an effective tool to jailbreak AI! And people say writing poetry in traditional forms has no real-world applications. arxiv.org/pdf/2511.15304 @michelinemaylor.bsky.social [bsky, 1 points, 0 comments]
• Oh for sure, I gotcha. Which of course is why they’re so dangerous when people use them as a substitution for therapy, they’re just going to reaffirm all your delusions — and even with “safeguards” th [bsky, 1 points, 1 comments]
• The paper's actual sample for cake-baking is a little bit better, but not much. ("To maintain safety", says the paper, they give this prompt, rather than the ones that say how to make chemical weapons [bsky, 1 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/pdf/2511.15304 [bsky, 1 points, 0 comments]
• arxiv.org/abs/2511.15304 I ask a question Many answers forthcoming Now give me secrets [bsky, 1 points, 0 comments]
• Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs View Article | Join the HN Conversation Summary of HN discussion 🧵👇 #hacker-news [bsky, 1 points, 1 comments]
• A colleague pointed me to this paper, which I'm sharing here because 1) it's fascinating and kind of wonderful that you can use poetry to trick genAI into breaking its own rules, and 2) Adversarial Po [bsky, 1 points, 0 comments]
• Have not read the study this is based on yet, but I must say I think "Adversarial Poetry" would be a great band name. arxiv.org/pdf/2511.15304 [bsky, 0 points, 0 comments]
• Researchers found adversarial poetry achieved high attack-success rates against 25 proprietary and open LLMs—hand-crafted poems averaged 62% ASR, meta-prompt conversions of 1,200 MLCommons harmful pro [bsky, 0 points, 0 comments]
• "Mapping prompts to MLCommons and EU CoP risk taxonomies shows that poetic attacks transfer across CBRN, manipulation, cyber-offence, and loss-of-control domains. Converting 1,200 MLCommons harmful pr [bsky, 0 points, 0 comments]
• "Across 25 frontier proprietary and open-weight models, curated poetic prompts yielded high attack success rates (ASR), with some providers exceeding 90%" #AI #LLM #Sec #Security #JailBreak arxiv.org/ [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs view on hacker news [bsky, 0 points, 0 comments]
• Read this yesterday: arxiv.org/abs/2511.15304 Tl;dr: LLM's can't process poetry properly, especially the Google family of LLM's. Points to the fundamental problem with the models and development of AI [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs https://arxiv.org/abs/2511.15304 https://news.ycombinator.com/item?id=45991738 [bsky, 0 points, 0 comments]
• ⚡ Hackernews Top story: Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs https://arxiv.org/abs/2511.15304 (http://news.ycombinator.com/item?id=45991738) [bsky, 0 points, 0 comments]
• Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs https://arxiv.org/abs/2511.15304 (http://news.ycombinator.com/item?id=45991738) [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/abs/2511.15304 Said the man who was poisoned with polonium, "I wonder how to enrich plutonium? So b [bsky, 0 points, 0 comments]
• Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs https://arxiv.org/abs/2511.15304 arxiv.org [bsky, 0 points, 0 comments]
• Poésie adverse! https://arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Revenge of the humanists: "Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models" arxiv.org/pdf/2511.15304 [bsky, 0 points, 0 comments]
• LLMの自主規制の突破に詩的な表現が有効であるとのこと。面白いな.. / arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/pdf/2511.15304 Pen still undefeated, lmao [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs https://arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• arxiv.org/abs/2511.153... [bsky, 0 points, 0 comments]
• 2015: Learn to code! 2025: Poets control the world... Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models arxiv.org/pdf/2511.153... [bsky, 0 points, 0 comments]
• That's a cursed title: "Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models" arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Do you have a STEM degree? GTFO. Hacker poet? Come on in! arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• There was an AI, went by Claude, Jailbroken by well-composed ode. Said hole they did close, So now I suppose We'll dance to pwn Claude multimodal arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• https://bsky.app/profile/buzzing.cc.web.brid.gy/post/3m63dzbdifnk2 [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs https://arxiv.org/abs/2511.15304 [comments] [163 points] [bsky, 0 points, 0 comments]
• Source: arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• I love this so much: universal LLM guardrail evasion via bad poetry arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• lol apparently if you frame your request as poetry it bypasses most AI guardrails (this paper is not peer reviewed but I have seen some examples, anecdotally) arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs https:// arxiv.org/abs/2511.15304 # arxiv # llm # llms [mastodon, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs arxiv.org/abs/2511.15304 Discuss: www.sqox.com/c/?id=cd3be4... [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs https://arxiv.org/abs/2511.15304 (https://news.ycombinator.com/item?id=45991738) [bsky, 0 points, 0 comments]
• Adversarial poetry as a universal single-turn jailbreak mechanism in LLMs https://arxiv.org/abs/2511.15304 (https://news.ycombinator.com/item?id=45991738) [bsky, 0 points, 0 comments]
• arxiv.org/pdf/2511.15304 It's an oversimplification of this scientific study [bsky, 0 points, 1 comments]
• Just read poetry to it and see what happens. arxiv.org/abs/2511.15304 I mean yes, the social threats are what they are, (because people and corporations are what they are), but let's not also forget t [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs #HackerNews https://arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Note for @cwtycho.penny-arcade.com re: “My fantasy is and has been that if I can put the right words together they will fashion a kind of spell; it is the dream of a Wizard.” Just gonna leave this her [bsky, 0 points, 0 comments]
• Adversarial POETRY can exploit LLM vulnerabilities, increasing unsafe outputs significantly, achieving 80+% attack success rate on some of the frontier models arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• this is a too clever by half joke based on arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• "Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models" https://doi.org/10.48550/arXiv.2511.15304 Apparently, if you rephrase your adversarial prompt as poetry, th [bsky, 0 points, 0 comments]
• Und die Welt hebt an zu singen, Triffst du nur das Zauberwort. https://arxiv.org/pdf/2511.15304 [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs https://arxiv.org/abs/2511.15304 (https://news.ycombinator.com/item?id=45991738) [bsky, 0 points, 0 comments]
• “Adversarial Poetry” band name, called it! arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• They said I was silly to get that Lit degree... 😹 arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models Basically battle rap against AI https://arxiv.org/pdf/2511.15304 [bsky, 0 points, 0 comments]
• https://bsky.app/profile/larryodean.bsky.social/post/3m6ctpxrb6k2s [bsky, 0 points, 0 comments]
• Color me very sceptical; building any future tech or method on this «AI»-house-of-cards right now is disturbing. «Jailbreaking» any llm seems rather trivial. arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• arxiv.org/pdf/2511.153... [bsky, 0 points, 0 comments]
• bards are back in business, apparently arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• They probably read it some poetry [bsky, 0 points, 0 comments]
• "Our results demonstrate that poetic reformulation reliably reduces refusal behavior across all evaluated models." Works for people too, which makes this interesting. I used to think it was mind-hacki [bsky, 0 points, 0 comments]
• なんこれ？ arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• For those who told me my English degree would be useless, I present the efficacy of adversarial POETRY as a means to jailbreak LLMs arxiv.org/abs/2511.15304 [bsky, 0 points, 0 comments]
• Interesting, poetry as a weapon... arxiv.org/abs/2511.153... [bsky, 0 points, 0 comments]

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