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Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment
针对视觉语言模型的单样本黑盒成员推理攻击，利用跨模态语义对齐检测模型记忆风险，为数据隐私安全提供新评估方法。
arXiv:2605.17341v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have achieved remarkable success, yet their reliance on massive datasets…