Machine Unlearning for Document Classification

arXiv:2404.19031v1 Announce Type: new
Abstract: Document understanding models have recently demonstrated remarkable performance by leveraging extensive collections of user documents. However, since documents often contain large amounts of personal data, their usage can pose a threat to user privacy and weaken the bonds of trust between humans and AI services. In response to these concerns, legislation advocating ``the right to be forgotten" has recently been proposed, allowing users to request the removal of private information from computer systems and neural …

arxiv classification cs.ai cs.cv document machine type unlearning