Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples

Adversarial Sparse Teacher (AST) introduces a novel defensive method to protect teacher models from distillation-based model stealing attacks using adversarial examples.