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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is robustness in AI?
💡 Hint: Think about the AI's strength against challenges.
Question 2
Easy
Define an adversarial attack.
💡 Hint: Consider what someone might do to trick the AI.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does robustness in AI refer to?
- Ability to deceive
- Ability to recover from failure
- Ability to resist adversarial attacks
💡 Hint: Think about what makes an AI strong against challenges.
Question 2
True or False: Adversarial attacks are designed to improve model performance.
- True
- False
💡 Hint: Consider the motives behind such attacks.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation