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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does 'accuracy under adversarial perturbation' measure?
💡 Hint: Think about how a model performs under attack.
Question 2
Easy
How do robust accuracy and clean accuracy differ?
💡 Hint: Consider which inputs are being used for evaluations.
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 accuracy under adversarial perturbation?
- Accuracy on clean data
- Accuracy on adversarial data
- Overall accuracy
💡 Hint: Consider what happens during an attack.
Question 2
True or False: Robust accuracy is measured on clean inputs.
- True
- False
💡 Hint: Think about the definitions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A model has a robust accuracy of 60% and a clean accuracy of 95%. Evaluate the implications of this disparity in a real-world application.
💡 Hint: Think about trust and safety.
Question 2
Design an experiment to assess the L_2 norm bounds for a given dataset. Explain the steps involved.
💡 Hint: What mathematical tools will you need?
Challenge and get performance evaluation