Jaesin Ahn

Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models

Diffusion models show remarkable image generation performance following text prompts, but risk generating sexual contents. Existing approaches, such as prompt filtering, concept removal, and even sexual contents mitigation methods, struggle to defend against adversarial attacks while maintaining ben…