SafeDream: Safety World Model for Proactive Early Jailbreak Detection
Multi-turn jailbreak attacks progressively erode LLM safety alignment across seemingly innocuous conversation turns, achieving success rates exceeding 90% against state-of-the-art models. Existing alignment-based and guardrail methods suffer from three key limitations: they require costly weight modification, evaluate each turn independently without modeling cumulative safety erosion, and detect attacks only after harmful content has been generated. To address these limitations, we first formulate the proactive early jailbreak detection problem with a new metric, detection lead, that measures how early an attack can be detected before the LLM complies. We then propose SAFEDREAM, a lightwe...
| Authors | Bo Yan, Weikai Lin, Yada Zhu et al. |
|---|---|
| Primary category | cs.CR |
| Published | 18 April 2026 |
| Last updated at source | 18 April 2026 |
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