FlipAttack: Jailbreak LLMs via Flipping
Text-flipping technique bypasses LLM safety guardrails by exploiting models' left-to-right processing bias, potentially enabling harmful output generation in enterprise AI deployments.
Summary written by editorial AI · Source link below
arXiv:2410.02832v2 Announce Type: replace Abstract: This paper proposes a simple yet effective jailbreak attack named FlipAttack against black-box LLMs. First, from the autoregressive nature, we reveal that LLMs tend to understand the text from left to right and find that they struggle to comprehend the text when noise is added to the left side. Motivated by these insights, we propose to disguise the harmful prompt by constructing left-side noise merely based on the prompt itself, then generali
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