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2002.03433
Cited By
Importance-Driven Deep Learning System Testing
International Conference on Software Engineering (ICSE), 2020
9 February 2020
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAML
VLM
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Papers citing
"Importance-Driven Deep Learning System Testing"
26 / 26 papers shown
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Stefan Pranger
Hana Chockler
Martin Tappler
Bettina Könighofer
OffRL
311
3
0
12 Nov 2024
LeCov: Multi-level Testing Criteria for Large Language Models
Xuan Xie
Yuheng Huang
Yuheng Huang
Da Song
Fuyuan Zhang
Felix Juefei-Xu
Lei Ma
ELM
224
0
0
20 Aug 2024
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
Aishwarya Gupta
Indranil Saha
Piyush Rai
AAML
MLAU
178
1
0
13 Aug 2024
Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective
R. C. Terin
Z. G. Arenas
Roberto Santana
190
1
0
23 Apr 2024
DeepKnowledge: Generalisation-Driven Deep Learning Testing
S. Missaoui
Simos Gerasimou
Nikolaos Matragkas
213
1
0
25 Mar 2024
Scope Compliance Uncertainty Estimate
Al-Harith Farhad
Ioannis Sorokos
Mohammed Naveed Akram
Mohammed Naveed Akram
Daniel Schneider
142
3
0
17 Dec 2023
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Daniel Bethell
Simos Gerasimou
R. Calinescu
231
19
0
18 Aug 2023
Feature Map Testing for Deep Neural Networks
Dong Huang
Qi Bu
Yahao Qing
Yichao Fu
Heming Cui
149
3
0
21 Jul 2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Dong Huang
Qi Bu
Yichao Fu
Yuhao Qing
Junjie Chen
Heming Cui
AAML
298
7
0
20 Jul 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
423
28
0
08 Mar 2023
Testing the Channels of Convolutional Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Kang Choi
Donghyun Son
Younghoon Kim
Jiwon Seo
164
1
0
06 Mar 2023
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
Roberto Santana
Ivan Hidalgo-Cenalmor
Unai Garciarena
A. Mendiburu
Jose A. Lozano
228
2
0
05 Mar 2023
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU
Jian-He Liao
Mingzhen Li
Qingxiao Sun
Jiwei Hao
F. Yu
...
Ye Tao
Zicheng Zhang
Hailong Yang
Zhongzhi Luan
D. Qian
164
4
0
06 Sep 2022
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Mingzhen Li
Wencong Xiao
Biao Sun
Hanyu Zhao
Hailong Yang
...
Chencan Wu
Yi Liu
Yong Li
Jialin Li
D. Qian
229
9
0
30 Aug 2022
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring
Model-Based Safety and Assessment (MBSA), 2022
Al-Harith Farhad
Ioannis Sorokos
Andreas Schmidt
Mohammed Naveed Akram
Mohammed Naveed Akram
Daniel Schneider
225
5
0
11 Jul 2022
Guiding the retraining of convolutional neural networks against adversarial inputs
PeerJ Computer Science (PeerJ CS), 2022
Francisco Durán
Luís Cruz
Michael Felderer
Xavier Franch
AAML
308
1
0
08 Jul 2022
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks
ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Xiaofei Xie
Tianlin Li
Jian-Xun Wang
Lei Ma
Qing Guo
Felix Juefei Xu
Yang Liu
AAML
304
62
0
24 Mar 2022
Towards Training Reproducible Deep Learning Models
International Conference on Software Engineering (ICSE), 2022
Boyuan Chen
Mingzhi Wen
Yong Shi
Dayi Lin
Gopi Krishnan Rajbahadur
Zhen Ming
Z. Jiang
SyDa
197
50
0
04 Feb 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
ACM Computing Surveys (ACM CSUR), 2022
Huaming Chen
Muhammad Ali Babar
AAML
322
39
0
12 Jan 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
IEEE Transactions on Software Engineering (TSE), 2021
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
M. Bagherzadeh
AAML
513
79
0
20 Dec 2021
Fairness Testing of Deep Image Classification with Adequacy Metrics
Peixin Zhang
Jingyi Wang
Jun Sun
Xinyu Wang
VLM
EGVM
186
12
0
17 Nov 2021
A Review and Refinement of Surprise Adequacy
Workshop on Deep Learning for Testing and Testing for Deep Learning (LTTDL), 2021
Michael Weiss
Rwiddhi Chakraborty
Paolo Tonella
AAML
AI4TS
190
18
0
10 Mar 2021
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
Giuliano Lorenzoni
Paulo S. C. Alencar
Nathalia Nascimento
Donald D. Cowan
105
22
0
15 Feb 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
Journal of Systems and Software (JSS), 2020
G. Giray
358
160
0
14 Dec 2020
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Ziyuan Zhong
Yuchi Tian
Baishakhi Ray
AAML
192
1
0
09 Oct 2020
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning
Samet Demir
Hasan Ferit Eniser
A. Sen
AAML
218
33
0
24 Nov 2019
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