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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: Consider what it means to be strong or resilient.
Question 2
Easy
Name one type of attack that threatens model robustness.
π‘ Hint: Think about inputs that are misleading.
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 does robustness in ML refer to?
π‘ Hint: Think about survival under pressure.
Question 2
True or False: Adversarial examples can appear normal to a human observer.
π‘ Hint: Consider how our eyes might be tricked.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a hypothetical machine learning model that can withstand an adversarial attack. Discuss the key features that would enhance its robustness.
π‘ Hint: Think about how to strengthen the model's defenses.
Question 2
Analyze the impact of model extraction on intellectual property. How could such attacks be mitigated in practice?
π‘ Hint: Consider strategies to protect sensitive information.
Challenge and get performance evaluation