Differential Privacy

Test

Parties jouées 0

Créer une copie

À propos de cette activité

Differential Privacy – Questionnaire

Créé par

NATHALIE ALONDRA BETANCOURT*MERINO

Mexico

Téléchargez la version pour jouer sur papier

Top 10 résultats

Il n'y a toujours pas de résultats pour ce jeu. Soyez le premier à apparaître dans le classement! Connectez-vous pour vous identifier.

Créez votre propre jeu gratuite à partir de notre créateur de jeu

Affrontez vos amis pour voir qui obtient le meilleur score dans ce jeu

Créer un défi

		%
	Anonyme	%
		%
		%

Imprimez votre jeu

Differential Privacy


Differential PrivacyVersion en ligne Differential Privacy – Questionnaire par 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

Vous pouvez intégrer le jeu dans un LMS compatible avec LTI 1.1 ou LTI 1.3 comme Canvas, Moodle ou Blackboard. Les scores seront ainsi automatiquement enregistrés dans le carnet de notes de la plateforme.

Differential Privacy

Test

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

Top Jeux

Test

Spanish Alphabet Listening

Test

Photosynthesis vs Cellular Respiration - Practice Quiz

Test

UPS 5 Seeing Habits Quiz

Test

Practice Quiz - Punnett Square, Variation, and Mutations

Test

Tissues - Practice Quiz

Differential PrivacyVersion en ligne

par 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?