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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are adversarial examples?
💡 Hint: Think of what kind of inputs could mislead an AI.
Question 2
Easy
Define data poisoning in AI.
💡 Hint: Consider how changing data inputs affects outcomes.
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 is an adversarial example?
- A type of model training
- An input designed to confuse AI
- A data management technique
💡 Hint: Think about how some inputs might not reflect reality.
Question 2
True or False: Model inversion attacks can reveal sensitive information from a model.
- True
- False
💡 Hint: Consider what attackers can learn through querying.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
How would you design a system that can robustly detect and mitigate adversarial attacks before deployment?
💡 Hint: Think about multiple layers of security and testing.
Question 2
Propose a research study to analyze the impact of data poisoning on AI decision-making in healthcare.
💡 Hint: Consider ethics as well when manipulating sensitive data.
Challenge and get performance evaluation