Boosting Operational DNN Testing Efficiency through Conditioning

Boosting Operational DNN Testing Efficiency through Conditioning

6 June 2019

Papers citing "Boosting Operational DNN Testing Efficiency through Conditioning"

12 / 12 papers shown

Title
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 47 0 0 15 Oct 2024
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 36 16 0 08 Mar 2023
Iterative Assessment and Improvement of DNN Operational Accuracy Antonio Guerriero R. Pietrantuono S. Russo AI4CE 28 4 0 02 Mar 2023
CodeS: Towards Code Model Generalization Under Distribution Shift Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma Mike Papadakis Yves Le Traon OOD 39 10 0 11 Jun 2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Wei Ma Mike Papadakis Yves Le Traon MQ 49 1 0 08 Apr 2022
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Mike Papadakis Yves Le Traon 23 5 0 08 Apr 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 50 44 0 20 Dec 2021
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles Xingyu Zhao Wei Huang Alec Banks V. Cox David Flynn S. Schewe Xiaowei Huang AAML UQCV 41 21 0 02 Jun 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020
Software engineering for artificial intelligence and machine learning software: A systematic literature review E. Nascimento Anh Nguyen-Duc Ingrid Sundbø T. Conte 18 40 0 07 Nov 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 43 30 0 03 Feb 2020
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019