DeepsXplore quizz
DeepXplore DNN Testing Quiz
Test your knowledge on DeepXplore, an innovative framework for systematically testing Deep Neural Networks (DNNs). This quiz will challenge your understanding of DNN testing methodologies, metrics, and components used in DeepXplore.
- 5 Multiple Choice Questions
- Assess your comprehension of DNN testing
- Learn key concepts and components of DeepXplore
DeepXplore is a framework designed for:
Training DNNs
Systematically testing DNNs for erroneous corner case behaviors
Generating labeled test inputs
Analyzing code coverage of DNNs
What metric is used to measure DNN testing comprehensiveness in comparison to code coverage?
Neuron coverage
Line coverage
Differential behaviors
Objective function
What are the main components of DeepXplore?
Labeled test inputs and custom constraints
Gradient computation and weight parameters
Pretrained DNNs' weights and intermediate neuron values
Differential behaviors and neuron coverage
DeepXplore's approach to testing DNNs is based on:
Randomly generated test inputs
Exhaustive enumeration of transformed inputs
Joint optimization and gradient ascent
Adversarial perturbations
What is the first objective of DeepXplore's optimization problem?
Maximizing differential behaviors
Maximizing neuron coverage
Balancing objectives between DNNs' predictions
Enforcing domain-specific constraints
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