Papers DNN Testing
“DNN Testing” 태그가 달린 논문 27편 · 필터 해제
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning
To analyse local robustness properties of deep neural networks (DNNs), we present a practical framework from a model learning perspective. Based on black-box model learning with scenario optimisation, we abstract the loc…
Adversarial AttackDNN TestingAutomatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
Automatically detecting the positions of key-points (e.g., facial key-points or finger key-points) in an image is an essential problem in many applications, such as driver's gaze detection and drowsiness detection in aut…
DNN TestingComparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
There is a growing body of research on developing testing techniques for Deep Neural Networks (DNN). We distinguish two general modes of testing for DNNs: Offline testing where DNNs are tested as individual units based o…
DNN TestingBoosting Operational DNN Testing Efficiency through Conditioning
With the increasing adoption of Deep Neural Network (DNN) models as integral parts of software systems, efficient operational testing of DNNs is much in demand to ensure these models' actual performance in field conditio…
DNN Testingsoftware testingTesting DNN Image Classifiers for Confusion & Bias Errors
Image classifiers are an important component of today's software, from consumer and business applications to safety-critical domains. The advent of Deep Neural Networks (DNNs) is the key catalyst behind such wide-spread …
AvgDNN TestingGeneral Classificationimage-classification+1DeepFault: Fault Localization for Deep Neural Networks
Deep Neural Networks (DNNs) are increasingly deployed in safety-critical applications including autonomous vehicles and medical diagnostics. To reduce the residual risk for unexpected DNN behaviour and provide evidence f…
Autonomous VehiclesDNN TestingFault localizationDeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems
Deep Neural Networks (DNNs) have been widely applied in many autonomous systems such as autonomous driving. Recently, DNN testing has been intensively studied to automatically generate adversarial examples, which inject …
Autonomous DrivingDNN Testing