Unsafe Prompt

Unsafe prompts, which exploit vulnerabilities in large language models (LLMs) and other generative AI systems, are a significant area of research focusing on identifying and mitigating the generation of harmful or inappropriate outputs. Current work investigates various model architectures, including LLMs and text-to-image diffusion models, employing techniques like prompt purification, reinforcement learning for query refinement, and latent variable defense to improve safety without sacrificing usability. Understanding and addressing this challenge is crucial for ensuring the responsible development and deployment of these powerful technologies, impacting both the safety and ethical considerations within the AI community and the broader societal implications of AI applications.