450 citations · 883 across the 31 of their papers we have counts for
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cs.LG2020★ 45 cited
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
Jinhan Kim, Jeongil Ju, Robert Feldt +1
Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object seg…
cs.SE2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
Sungmin Kang, Robert Feldt, Shin Yoo
The testing of Deep Neural Networks (DNNs) has become increasingly important as DNNs are widely adopted by safety critical systems. While many test adequacy criteria have been sugg…