AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models

Understand

As text-to-image (T2I) models advance and gain widespread adoption, their associated safety concerns are becoming increasingly critical.

• Malicious users exploit these models to generate Not-Safe-for-Work (NSFW) images using harmful or adversarial prompts, underscoring the need for effective safeguards to ensure the integrity and compliance of model outputs.
• However, existing detection methods often exhibit low accuracy and inefficiency.
• In this paper, we propose AEIOU, a defense framework that is adaptable, efficient, interpretable, optimizable, and unified against NSFW prompts in T2I models.