Practice Metrics for Privacy - 13.6.1 | 13. Privacy-Aware and Robust Machine Learning | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does Ξ΅ represent in the context of differential privacy?

πŸ’‘ Hint: Think about how changes in data affect model behavior.

Question 2

Easy

What does Ξ΄ indicate in differential privacy?

πŸ’‘ Hint: Consider this as an allowance for some acceptable risk.

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 a smaller Ξ΅ indicate in differential privacy?

  • Weaker privacy
  • Stronger privacy
  • No effect on privacy

πŸ’‘ Hint: Remember, less Ξ΅ equals more privacy.

Question 2

True or False: Delta (Ξ΄) in differential privacy allows for a margin of error.

  • True
  • False

πŸ’‘ Hint: Think about the margin of error in various settings.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a machine learning model that uses differential privacy with specific Ξ΅ and Ξ΄ values. Discuss the implications of the chosen values on model performance and privacy.

πŸ’‘ Hint: Relate how the choice of Ξ΅ and Ξ΄ affects real user data.

Question 2

Analyze a dataset subjected to membership inference attacks. What strategies would you employ to assess and improve its resilience against these attacks?

πŸ’‘ Hint: Consider using augmented data obfuscation techniques.

Challenge and get performance evaluation