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Related Questions
- What are the primary motivations behind creating adversarial examples?
- How do adversarial examples affect the accuracy and reliability of machine learning models?
- What are some common techniques used to generate adversarial examples?
- Can you explain the role of gradient-based methods in creating adversarial examples?
- How do out-of-distribution inputs differ from in-distribution inputs, and what implications do they have for model performance?
- What are some real-world applications of adversarial examples, such as in image classification and natural language processing?
- Can you discuss the relationship between robustness and generalizability in the context of adversarial examples?
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