few-tokens-matter-vlm-attacks

【效率与协作】Demonstrate that adversarial attacks on vision-language models need not target all tokens equally. Entropy-guided attacks identify high-entropy tokens (critical decision points) where perturbations have maximum impact, achieving comparable attack success with 80% fewer tokens targeted.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准