I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models
A new methodology called I-CARE, introduced in an arXiv paper (arXiv:2609.00003v1), formalizes the study of interference in generative machine unlearning for text-to-image models, providing definitions, metrics, and repo…