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Towards Improved Testing For Deep Learning

Towards Improved Testing For Deep Learning

17 February 2019
Jasmine Sekhon
C. Fleming
ArXiv (abs)PDFHTML

Papers citing "Towards Improved Testing For Deep Learning"

13 / 13 papers shown
Title
Robust Black-box Testing of Deep Neural Networks using Co-Domain
  Coverage
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
Aishwarya Gupta
Indranil Saha
Piyush Rai
AAMLMLAU
54
1
0
13 Aug 2024
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep
  Learning Projects
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
Han Wang
Sijia Yu
Chunyang Chen
Burak Turhan
Xiaodong Zhu
ELMMLAU
54
2
0
26 Feb 2024
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep
  Neural Networks
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks
Xiaofei Xie
Tianlin Li
Jian-Xun Wang
Lei Ma
Qing Guo
Felix Juefei Xu
Yang Liu
AAML
87
55
0
24 Mar 2022
Dynamic Certification for Autonomous Systems
Dynamic Certification for Autonomous Systems
Georgios Bakirtzis
Steven Carr
David Danks
Ufuk Topcu
45
10
0
21 Mar 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
M. Bagherzadeh
AAML
99
45
0
20 Dec 2021
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural
  Networks
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks
Hua Qi
Zhijie Wang
Qing Guo
Jianlang Chen
Felix Juefei Xu
Lei Ma
Jianjun Zhao
AAMLAI4CE
81
19
0
26 Nov 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
113
70
0
26 Jul 2021
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
90
133
0
14 Dec 2020
DeepRepair: Style-Guided Repairing for DNNs in the Real-world
  Operational Environment
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
Bing Yu
Hua Qi
Qing Guo
Felix Juefei Xu
Xiaofei Xie
Lei Ma
Jianjun Zhao
21
5
0
19 Nov 2020
Quality Management of Machine Learning Systems
Quality Management of Machine Learning Systems
P. Santhanam
39
18
0
16 Jun 2020
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural
  Networks
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks
Fuyuan Zhang
Sankalan Pal Chowdhury
M. Christakis
AAML
58
8
0
14 Oct 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLMAILaw
101
756
0
19 Jun 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
114
18
0
19 May 2019
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