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Black-Box Testing of Deep Neural Networks Through Test Case Diversity

Black-Box Testing of Deep Neural Networks Through Test Case Diversity

20 December 2021
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
M. Bagherzadeh
    AAML
ArXivPDFHTML

Papers citing "Black-Box Testing of Deep Neural Networks Through Test Case Diversity"

14 / 14 papers shown
Title
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Wenkai Li
Xiaoqi Li
Yingjie Mao
Yishun Wang
24
0
0
12 May 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
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
Can Search-Based Testing with Pareto Optimization Effectively Cover
  Failure-Revealing Test Inputs?
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
Lev Sorokin
Damir Safin
Shiva Nejati
18
2
0
15 Oct 2024
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
DiffM
42
0
0
15 Oct 2024
LeCov: Multi-level Testing Criteria for Large Language Models
LeCov: Multi-level Testing Criteria for Large Language Models
Xuan Xie
Jiayang Song
Yuheng Huang
Da Song
Fuyuan Zhang
Felix Juefei-Xu
Lei Ma
ELM
31
0
0
20 Aug 2024
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
AAML
MLAU
32
1
0
13 Aug 2024
Effective Black Box Testing of Sentiment Analysis Classification
  Networks
Effective Black Box Testing of Sentiment Analysis Classification Networks
Parsa Karbasizadeh
Fathiyeh Faghih
Pouria Golshanrad
22
0
0
30 Jul 2024
GIST: Generated Inputs Sets Transferability in Deep Learning
GIST: Generated Inputs Sets Transferability in Deep Learning
Florian Tambon
Foutse Khomh
G. Antoniol
AAML
37
1
0
01 Nov 2023
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Xinyu She
Yue Liu
Yanjie Zhao
Yiling He
Li Li
C. Tantithamthavorn
Zhan Qin
Haoyu Wang
ELM
35
13
0
27 Oct 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning
  Agents
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
S. Ramesh
25
5
0
03 Aug 2023
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 Networks
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
34
15
0
08 Mar 2023
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
45
27
0
15 Jun 2022
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
149
348
0
07 Feb 2013
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
1