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