Practice Differential Privacy (DP) - 13.2 | 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 Differential Privacy aim to protect?

πŸ’‘ Hint: Think about what happens when someone’s data is added or removed.

Question 2

Easy

Name one mechanism of Differential Privacy.

πŸ’‘ Hint: It adds noise to what's being computed.

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 Differential Privacy ensure regarding individual data points?

  • They can significantly influence the model output.
  • They do not influence model output significantly.
  • They are exposed in training data.

πŸ’‘ Hint: Remember how data contributes to model predictions.

Question 2

True or False: The Laplace Mechanism adds Gaussian noise to numerical queries.

  • True
  • False

πŸ’‘ Hint: Recall the specific noises associated with different mechanisms.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

If a company decides to implement Differential Privacy on their data, but they set Ξ΅ too low, what potential issues could arise?

πŸ’‘ Hint: Think about how strict privacy requirements interact with accuracy.

Question 2

How would you explain to a non-technical person how Differential Privacy works using the analogy of a party?

πŸ’‘ Hint: Consider what distractions would prevent identifying specifics.

Challenge and get performance evaluation