Practice Differential Privacy - 2.3.4.1 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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2.3.4.1 - Differential Privacy

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does differential privacy aim to achieve?

πŸ’‘ Hint: Think about privacy in data analysis.

Question 2

Easy

What is the significance of the term 'epsilon' (Ξ΅) in differential privacy?

πŸ’‘ Hint: Consider the balance between privacy and data accuracy.

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 main purpose of differential privacy?

  • To maximize data accuracy
  • To ensure mathematical privacy
  • To share data openly

πŸ’‘ Hint: Focus on the outcome of implementing this technique.

Question 2

True or False: Differential privacy guarantees that no individual can be re-identified from the data.

  • True
  • False

πŸ’‘ Hint: Consider the concept of anonymity in data datasets.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Propose a way to implement differential privacy in a healthcare study that tracks patient outcomes without disclosing identities.

πŸ’‘ Hint: Consider methods for summarizing data for analysis.

Question 2

Analyze the trade-offs between accuracy and privacy when applying differential privacy to social media data analysis.

πŸ’‘ Hint: Think about how businesses rely on accurate data for profits.

Challenge and get performance evaluation