The Great Pretender: A Stochasticity Problem in LLM Jailbreak

Abstract

"Oh-Oh, yes, I'm the great pretender. Pretending that I'm doing well. My need is such, I pretend too much..." summarizes the state in the area of jailbreak creation and evaluation. You find this method to generate adversarial attacks proposed by a reputable institution (e.g., BoN from Anthropic or Crescendo from Microsoft Research). However, this method does not deliver on the promise claimed in the paper despite having top ASR scores against industry-grade LLMs. You successfully generate the ja

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@misc{monteuuis2026great,
  title = {{The Great Pretender: A Stochasticity Problem in LLM Jailbreak}},
  author = {Jean-Philippe Monteuuis and Cong Chen and Jonathan Petit},
  year = {2026},
  month = may,
  eprint = {2605.14418},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.14418}
}