Hui Sun

Adversarial Attack and Detection in Token‐Pruned Large Vision‐Language Models

Large vision‐language models (LVLMs) incur high computational costs, and visual token pruning is commonly used to remove redundant tokens and enhance efficiency. However, from a security perspective, such acceleration mechanisms may have a non‐monotonic impact on adversarial robustness: They may either improve robust...