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Related Questions
- What are some common techniques used for data augmentation in LLMs to enhance robustness against adversarial attacks?
- Can you explain how data augmentation can be used to reduce the effect of adversarial perturbations on LLMs?
- How does data augmentation impact the performance of LLMs in real-world scenarios where adversarial attacks may occur?
- What are some challenges associated with using data augmentation to improve the robustness of LLMs to adversarial attacks?
- Can you discuss the trade-offs between data augmentation and model complexity in terms of improving robustness to adversarial attacks?
- How can data augmentation be used in conjunction with other techniques, such as regularization and adversarial training, to enhance the robustness of LLMs?
- What are some future research directions for using data augmentation to improve the robustness of LLMs to adversarial attacks?
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