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Dual-grained Internal Refusal Estimation (DIRE), a training-free detection framework that jointly probes resilient Attention routing and FFN semantic memory within effective semantic layers to detect multimodal jailbreaks in a training-free manner, is introduced.
As the capabilities of Vision Language Models (VLMs) continue to improve, they are increasingly targeted by jailbreak attacks. Existing defense methods face two major limitations: (1) they struggle to ensure safety without compromising the model’s utility; and (2) many defense mechanisms significantly reduce the model’...
SafeSteer is a lightweight, inference-time steering framework that effectively defends against diverse jailbreak attacks without modifying model weights, using the innovative use of Singular Value Decomposition to construct a low-dimensional safety subspace during inference.
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