Unsafe Image

Unsafe image research focuses on mitigating the generation and spread of harmful or inappropriate visual content produced by AI models, particularly text-to-image generators. Current research emphasizes developing methods to detect and remove unsafe content, including techniques like prompt purification, feature suppression, and adversarial attack defense, often leveraging large language models and diffusion models. This field is crucial for responsible AI development, aiming to improve the safety and ethical implications of AI-generated imagery across various applications, from social media moderation to preventing the creation and dissemination of harmful propaganda.