InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
InstructTA is a novel instruction-tuned attack designed to create highly transferable adversarial attacks against large vision-language models (LVLMs). It uses GPT-4 to infer and rephrase instructions, allowing the attack to extract 'instruction-aware features' for precise targeting. This method outperforms existing attacks by optimizing both feature distance and semantic similarity.