Adversarial Prompt

Adversarial prompts are carefully crafted inputs designed to exploit vulnerabilities in large language models (LLMs) and other AI systems, causing them to generate unintended or harmful outputs. Current research focuses on developing more effective adversarial prompt generation techniques, often employing gradient-based optimization, evolutionary algorithms, or large language models themselves as attackers, and evaluating the robustness of various LLMs (including GPT models, Llama, and others) against these attacks. This research is crucial for improving the safety and reliability of LLMs in real-world applications, as well as for developing more robust defense mechanisms against malicious exploitation. Understanding and mitigating the impact of adversarial prompts is essential for responsible AI development and deployment.