Practice Mechanisms for DP - 13.2.2 | 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 the Laplace Mechanism add to numeric queries?

πŸ’‘ Hint: It starts with 'L' and is a type of statistical noise.

Question 2

Easy

What type of distortion does the Gaussian Mechanism introduce?

πŸ’‘ Hint: This noise has a bell-shaped curve.

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 added to numeric queries in the Laplace Mechanism?

  • Gaussian noise
  • Laplacian noise
  • Exponential noise

πŸ’‘ Hint: Remember, it's specific to the Laplace method.

Question 2

True or False: The Exponential Mechanism is appropriate for numeric data.

  • True
  • False

πŸ’‘ Hint: Think about the types of outputs discussed.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an experiment assessing the impact of varying Ξ΅ values on the utility of the Laplace Mechanism. Predict the outcomes.

πŸ’‘ Hint: Consider how noise distorts data representation.

Question 2

Select a scenario where the Exponential Mechanism would be the best choice and justify your selection.

πŸ’‘ Hint: Think about instances requiring categorical selections.

Challenge and get performance evaluation