ZK-APEX: Zero-Knowledge Approximate Personalized Unlearning with Executable Proofs

Mohammad M Maheri, Sunil Cotterill, Alex Davidson +1

Machine unlearning aims to remove the influence of specific data points from a trained model to satisfy privacy, copyright, and safety requirements. In real deployments, providers…