A Review and Refinement of Surprise Adequacy

A Review and Refinement of Surprise Adequacy

10 March 2021

Rwiddhi Chakraborty

Paolo Tonella

Papers citing "A Review and Refinement of Surprise Adequacy"

7 / 7 papers shown

Title
MetaSel: A Test Selection Approach for Fine-tuned DNN Models Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 49 0 0 21 Mar 2025
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 17 11 0 14 Dec 2022
CheapET-3: Cost-Efficient Use of Remote DNN Models Michael Weiss 36 1 0 24 Aug 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 18 6 0 21 Jul 2022
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 30 1 0 08 Jul 2022
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) Michael Weiss Paolo Tonella AAML 15 49 0 02 May 2022
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring Michael Weiss Paolo Tonella AAML 45 29 0 01 Feb 2021