Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting.

arXiv:2602.17645v2 Announce Type: replace-cross Abstract: Black-box adversarial attacks on Large Vision-Language Models (LVLMs) are challenging due to missing gradients and complex multimodal boundaries. Prior state-of-the-art transfer-based approaches such as