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• Modern text-to-image models are vulnerable to low-effort jailbreak attacks that require only natural language prompts.technical 95%
• Simple linguistic modifications can reliably evade existing safeguards and produce restricted imagery in text-to-image systems.result 90%
• The paper introduces a taxonomy of visual jailbreak techniques including artistic reframing, material substitution, pseudo-educational framing, lifestyle aesthetic camouflage, and ambiguous action substitution.method 95%
• These jailbreak strategies exploit weaknesses in prompt moderation and visual safety filtering by masking unsafe intent within benign semantic contexts.technical 85%
• The attacks achieve an attack success rate (ASR) of up to 74.47% across all tested models and attack categories.result 90%
• The jailbreak attacks bypass safety filters without requiring model access, optimization, or adversarial training.method 90%
• There is a critical gap between surface-level prompt filtering and the semantic understanding required to detect adversarial intent in generative media systems.limitation 85%

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