Tag
The paper introduces Joint Pixel-Prompt Optimization (JPPO), a novel adversarial framework that jointly optimizes pixel perturbations and visible prompts to exhaust resources in autoregressive vision-language models, achieving significant latency and energy amplification compared to existing methods.