2026
A Two-Stage Globally-Diverse Adversarial Attack for Vision-Language Pre-training Models
ICASSP 2026poster
Vision-language pre-training (VLP) models are vulnerable to adversarial examples, particularly in black-box scenarios. Existing multimodal attacks often suffer from limited perturbation diversity and unstable multi-stage pipelines. To address these challenges, we propose 2S-GDA, a two-stage globally…