Co-occurring associated retained concepts in Diffusion Unlearning

The article introduces ReCARE (Robust erasure for CARE), a novel framework designed to enhance unlearning in diffusion models by preserving co-occurring associated retained concepts (CARE) while effectively erasing target concepts. It defines the CARE score as a metric for quantifying the preservation of these concepts and presents extensive experimental results demonstrating that ReCARE achieves state-of-the-art performance in maintaining utility and concept erasure across various targets, including nudity and artistic styles. This advancement is significant for practitioners as it addresses the challenge of harmful content generation without compromising the generation of benign associated concepts.