SPARK: Representation-Level KV Memory Alignment for Safer Vision-Language Models
SPARK is introduced, a two-stage framework for targeted KV-memory repair that reduces multimodal attack success while preserving general capability and suggests that multimodal jailbreak behavior can be substantially mitigated by selectively repairing intervention-relevant KV subspaces at prefill.