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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is robustness in machine learning?
π‘ Hint: Think about a model's performance under stress.
Question 2
Easy
Name one type of attack on machine learning models.
π‘ Hint: Consider attacks that can confuse the model.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main goal of robustness in machine learning?
π‘ Hint: Think about models challenged by adversarial changes.
Question 2
True or false: Data poisoning can permanently damage a model's training.
π‘ Hint: Consider the impact on training data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Develop a detailed defense strategy against a hypothetical scenario of model extraction in a cloud-based ML system.
π‘ Hint: How can limiting access help secure the model?
Question 2
Create a short narrative explaining how data poisoning could impact a healthcare application using ML.
π‘ Hint: What happens if vital patient data is altered?
Challenge and get performance evaluation