Pseudo-Probability Unlearning: Efficient and Privacy-Preserving Machine Unlearning

ArXi:2411.02622v2 Announce Type: replace Machine unlearning, enabling a trained model to forget specific data, is crucial for addressing erroneous data and adhering to privacy regulations like the General Data Protection Regulation (GDPR)'s "right to be forgotten". Despite recent progress, existing methods face two key challenges: residual information may persist in the model even after unlearning, and the computational overhead required for effective data removal is often high.