<ul><li>Efficient Verified Machine Unlearning For Distillation</li><li>Growing data privacy demands require efficient machine unlearning methods for removing the influence of specific training points.</li><li>The PURGE framework integrates verified unlearning with distillation by using constituent mapping and an incremental multi-teacher strategy.</li><li>PURGE reduces retraining overhead and achieves significant speed-ups in the unlearning process while maintaining student accuracy.</li></ul>

Efficient Verified Machine Unlearning For Distillation

Discover more