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DNN Testing

Testing the reliability of DNNs.

Papers

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Showing 1–25 of 27 papers

TitleStatusHype
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware CriterionCode1
Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic TestingCode1
Distribution-Aware Testing of Neural Networks Using Generative ModelsCode1
An Overview of Structural Coverage Metrics for Testing Neural NetworksCode0
Black-Box Testing of Deep Neural Networks Through Test Case DiversityCode0
Boosting Operational DNN Testing Efficiency through ConditioningCode0
Targeted Deep Learning System Boundary TestingCode0
Towards Practical Robustness Analysis for DNNs based on PAC-Model LearningCode0
RBT4DNN: Requirements-based Testing of Neural NetworksCode0
Testing DNN Image Classifiers for Confusion & Bias ErrorsCode0
DeepFault: Fault Localization for Deep Neural Networks—0
DeepKnowledge: Generalisation-Driven Deep Learning Testing—0
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)—0
DeepSample: DNN sampling-based testing for operational accuracy assessment—0
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing—0
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing—0
Exposing Previously Undetectable Faults in Deep Neural Networks—0
GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth—0
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks—0
Neuron Coverage-Guided Domain Generalization—0
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks—0
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems—0
Rethinking Diversity in Deep Neural Network Testing—0
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks—0
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study—0
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