Xue Ouyang

GLEAM: Enhanced Transferable Adversarial Attacks for Vision-Language Pre-training Models via Global-Local Transformations

Vision-language pre-training (VLP) models leverage large-scale cross-modal pre-training to align vision and text modalities, achieving impressive performance on tasks like image-text retrieval and visual grounding. However, these models are highly vulnerable to adversarial attacks, raising critical…