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DeepsXplore quizz

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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

5 Questions1 MinutesCreated by TestingBird729

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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