Practice - Metrics for Privacy
Practice Questions
Test your understanding with targeted questions
What does ε represent in the context of differential privacy?
💡 Hint: Think about how changes in data affect model behavior.
What does δ indicate in differential privacy?
💡 Hint: Consider this as an allowance for some acceptable risk.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does a smaller ε indicate in differential privacy?
💡 Hint: Remember, less ε equals more privacy.
True or False: Delta (δ) in differential privacy allows for a margin of error.
💡 Hint: Think about the margin of error in various settings.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a machine learning model that uses differential privacy with specific ε and δ values. Discuss the implications of the chosen values on model performance and privacy.
💡 Hint: Relate how the choice of ε and δ affects real user data.
Analyze a dataset subjected to membership inference attacks. What strategies would you employ to assess and improve its resilience against these attacks?
💡 Hint: Consider using augmented data obfuscation techniques.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.