Advancements in Large Language Models (LLMs) technology could significantly impact the effectiveness of the Divide-and-Conquer Attack strategy:
Improved Prompt Understanding: Enhanced LLMs with better language comprehension capabilities can more accurately process complex prompts, making it harder for attackers to craft successful adversarial prompts.
Defense Mechanisms: Advanced LLMs could be leveraged by developers to strengthen safety filters within TTI models, enabling them to better detect and block adversarial prompts generated using divide-and-conquer techniques.
Adversarial Training: Researchers might explore using advanced LLMs for generating adversarial examples during model training, helping improve model robustness against similar attacks in real-world scenarios.