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Related Questions
- What are the key differences between knowledge distillation and other model compression techniques in terms of adversarial robustness?
- How does knowledge distillation compare to pruning-based model compression in terms of robustness to adversarial attacks?
- Can knowledge distillation provide better robustness to adversarial attacks compared to weight quantization techniques?
- What are the limitations of knowledge distillation in terms of its ability to improve robustness to adversarial attacks?
- How does knowledge distillation impact the trade-off between model size and robustness to adversarial attacks?
- Are there any studies that have compared the robustness of knowledge distillation to other model compression techniques under the same adversarial attack scenarios?
- Can knowledge distillation be combined with other model compression techniques to enhance robustness to adversarial attacks?
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