CPR: Retrieval Augmented Generation for Copyright Protection

arXiv:2403.18920v1 Announce Type: cross
Abstract: Retrieval Augmented Generation (RAG) is emerging as a flexible and robust technique to adapt models to private users data without training, to handle credit attribution, and to allow efficient machine unlearning at scale. However, RAG techniques for image generation may lead to parts of the retrieved samples being copied in the model's output. To reduce risks of leaking private information contained in the retrieved set, we introduce Copy-Protected generation with Retrieval (CPR), a new method …

abstract adapt arxiv attribution copyright copyright protection credit cs.ai cs.cr cs.cv data however image image generation machine protection rag retrieval retrieval augmented generation robust samples scale training type unlearning