AI RESEARCH
Towards Reliable Testing of Machine Unlearning
arXiv CS.LG
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ArXi:2604.16536v1 Announce Type: new Machine learning components are now central to AI-infused software systems, from recommendations and code assistants to clinical decision. As regulations and governance frameworks increasingly require deleting sensitive data from deployed models, machine unlearning is emerging as a practical alternative to full re