3.3 - Robustness
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Practice Questions
Test your understanding with targeted questions
What is robustness in AI?
💡 Hint: Think about the AI's strength against challenges.
Define an adversarial attack.
💡 Hint: Consider what someone might do to trick the AI.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does robustness in AI refer to?
💡 Hint: Think about what makes an AI strong against challenges.
True or False: Adversarial attacks are designed to improve model performance.
💡 Hint: Consider the motives behind such attacks.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider an AI model developed for medical image analysis. What strategies can be employed to enhance its robustness against adversarial attacks that distort X-ray images?
💡 Hint: Remember, practice under varying conditions enhances performance.
Discuss how the accuracy-robustness trade-off might affect the deployment of AI in self-driving cars. What measures can be taken to address these challenges?
💡 Hint: Think about how redundancy can improve reliability in critical applications.
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