Robust Concept Filtering in Text-to-Image Models: Espresso, a Novel Approach

Espresso, a robust concept filtering technique based on Contrastive Language-Image Pre-Training (CLIP), effectively identifies and removes unacceptable concepts in images generated by text-to-image models, while preserving utility and being resistant to adversarial attacks.