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Supporting DNN Safety Analysis and Retraining through Heatmap-based
  Unsupervised Learning
v1v2v3v4 (latest)

Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning

IEEE Transactions on Reliability (IEEE Trans. Reliab.), 2020
3 February 2020
Hazem M. Fahmy
F. Pastore
M. Bagherzadeh
Lionel C. Briand
    AI4CEAAML
ArXiv (abs)PDFHTML

Papers citing "Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning"

8 / 8 papers shown
Benchmarking Generative AI Models for Deep Learning Test Input
  Generation
Benchmarking Generative AI Models for Deep Learning Test Input GenerationInternational Conference on Information Control Systems & Technologies (ICST), 2024
Maryam
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
VLM
219
11
0
23 Dec 2024
DNN Modularization via Activation-Driven Training
DNN Modularization via Activation-Driven Training
Tuan Ngo
Abid Hassan
Saad Shafiq
Nenad Medvidovic
MoMe
399
0
0
01 Nov 2024
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep
  Neural Networks
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural NetworksACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
476
30
0
08 Mar 2023
Supporting Safety Analysis of Image-processing DNNs through
  Clustering-based Approaches
Supporting Safety Analysis of Image-processing DNNs through Clustering-based ApproachesACM Transactions on Software Engineering and Methodology (TOSEM), 2023
M. Attaoui
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
AI4CE
377
10
0
31 Jan 2023
HUDD: A tool to debug DNNs for safety analysis
HUDD: A tool to debug DNNs for safety analysis
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
136
10
0
15 Oct 2022
Simulator-based explanation and debugging of hazard-triggering events in
  DNN-based safety-critical systems
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systemsACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
Thomas Stifter
AAML
368
18
0
01 Apr 2022
Black-box Safety Analysis and Retraining of DNNs based on Feature
  Extraction and Clustering
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and ClusteringACM Transactions on Software Engineering and Methodology (TOSEM), 2022
M. Attaoui
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
AAML
384
26
0
13 Jan 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Black-Box Testing of Deep Neural Networks Through Test Case DiversityIEEE Transactions on Software Engineering (TSE), 2021
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
M. Bagherzadeh
AAML
557
83
0
20 Dec 2021
1
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