Differential Privacy

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Differential Privacy – Questionnaire

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NATHALIE ALONDRA BETANCOURT*MERINO

México

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Differential Privacy


Differential PrivacyVersión en línea Differential Privacy – Questionnaire por NATHALIE ALONDRA BETANCOURT*MERINO 1 What is the main goal of differential privacy? a To make data more accessible b To ensure individual data cannot be identified c To speed up data analysis d To improve internet connectivity 2 Which of the following is an example of a product where differential privacy could be applied? a A music streaming app that creates personalized playlists b A smart fridge that orders groceries c A health-tracking app that collects sensitive user data d A weather forecasting tool 3 True or False: Differential privacy means the model memorizes individual data points to improve accuracy. a True b False 4 How is noise used in differential privacy? a It cleans the data to remove errors b It hides individual contributions by adding randomness c It blocks hackers from accessing databases d It increases the data’s accuracy 5 Which of the following is not a step in using differential privacy in model training? a Adding noise to the data b Letting the model memorize rare cases c Limiting large updates from single data points d Combining updates from many examples 6 What does it mean to “keep track” in differential privacy? a Monitor which users are active b Track how many models are being trained c Count how many errors the model makes d Track how much privacy budget has been spent 7 True or False: In a robot-chef example, differential privacy means the robot learns general cooking patterns, not exact recipes. a True b False 8 What is one major challenge of implementing differential privacy in a health app? a Too many users b Loss of data accuracy due to noise c Incompatibility with mobile phones d High internet usage 9 What could be a creative solution to improve accuracy while using differential privacy? a Collect more personal data b Use higher noise levels in all cases c Train the model using synthetic data along with real data d Avoid using any privacy protection 10 Which of these best describes how updates are applied in a differentially private model? a Updates are made after looking at one user’s data b Updates are random and unrelated to the data c Updates from many users are combined before making changes d The model updates itself without using any data

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Differential Privacy

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Differential PrivacyVersión en línea

por NATHALIE ALONDRA BETANCOURT*MERINO

What is the main goal of differential privacy?

Which of the following is an example of a product where differential privacy could be applied?

True or False: Differential privacy means the model memorizes individual data points to improve accuracy.

How is noise used in differential privacy?

Which of the following is not a step in using differential privacy in model training?

What does it mean to “keep track” in differential privacy?

True or False: In a robot-chef example, differential privacy means the robot learns general cooking patterns, not exact recipes.

What is one major challenge of implementing differential privacy in a health app?

What could be a creative solution to improve accuracy while using differential privacy?

Which of these best describes how updates are applied in a differentially private model?