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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 about how minor changes can affect predictions.
Question 2
Easy
Define data poisoning.
💡 Hint: What happens when false information is fed to a learning system?
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 the effect of adversarial examples?
- They improve model performance
- They mislead models
- They have no effect
💡 Hint: Consider the purpose of these modifications.
Question 2
Data poisoning involves injecting good data into the training set.
- True
- False
💡 Hint: Think about the intent of the data that is being injected.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose and detail a mitigation strategy against adversarial examples.
💡 Hint: How can you integrate these examples early in the learning stage?
Question 2
Calculate the potential loss in performance due to data poisoning in a given scenario.
💡 Hint: What metrics can help determine the effectiveness of the model?
Challenge and get performance evaluation