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Related Questions
- What are the key differences between knowledge distillation and adversarial training in terms of their goals and approaches?
- How does knowledge distillation compare to other robustness techniques such as data augmentation and regularization?
- Can knowledge distillation be used in conjunction with adversarial training to improve model robustness?
- What are the advantages and disadvantages of using knowledge distillation versus adversarial training for robustness?
- How does knowledge distillation impact the model's capacity to generalize to unseen data?
- Can knowledge distillation be used to improve the robustness of models to specific types of attacks, such as evasion attacks?
- How does the choice of distillation temperature and other hyperparameters affect the robustness of the distilled model?
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