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Related Questions
- What are adversarial attacks, and how do they affect pre-trained models?
- Can you explain the types of adversarial attacks that can target pre-trained models?
- How do pre-trained models handle out-of-distribution data, and are they vulnerable to adversarial attacks in such scenarios?
- What is the relationship between model interpretability and vulnerability to adversarial attacks?
- Can you discuss the role of adversarial training in improving the robustness of pre-trained models?
- How can transfer learning be used to adapt pre-trained models to new tasks and protect them from adversarial attacks?
- What are some emerging techniques for defending against adversarial attacks on pre-trained models, such as adversarial training and robust optimization?
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