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2212.11368
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When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
International Conference on Software Engineering (ICSE), 2022
21 December 2022
Vincenzo Riccio
Paolo Tonella
AAML
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Papers citing
"When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study"
14 / 14 papers shown
Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
Mohammad Hossein Amini
M. Sabetzadeh
S. Nejati
VLM
190
0
0
07 Jul 2025
Towards Assessing Deep Learning Test Input Generators
Seif Mzoughi
Ahmed Hajyahmed
Mohamed Elshafei
Foutse Khomh anb Diego Elias Costa
D. Costa
AAML
314
1
0
03 Apr 2025
Generating Realistic, Diverse, and Fault-Revealing Inputs with Latent Space Interpolation for Testing Deep Neural Networks
Bin Duan
Matthew B.Dwyer
Guowei Yang
AAML
188
0
0
22 Mar 2025
Benchmarking Generative AI Models for Deep Learning Test Input Generation
International Conference on Information Control Systems & Technologies (ICST), 2024
Maryam
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
VLM
189
11
0
23 Dec 2024
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
Empirical Software Engineering (EMSE), 2024
Lev Sorokin
Damir Safin
Shiva Nejati
210
5
0
15 Oct 2024
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
IEEE Transactions on Software Engineering (TSE), 2024
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
DiffM
451
0
0
15 Oct 2024
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems
International Conference on Automated Software Engineering (ASE), 2024
Mohammad Hossein Amini
Shiva Nejati
259
5
0
25 Aug 2024
Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach
Cristopher McIntyre-Garcia
Adrien Heymans
Beril Borali
Won-Sook Lee
Shiva Nejati
AAML
222
0
0
25 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Yuheng Huang
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
393
12
0
12 Apr 2024
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems
Empirical Software Engineering (EMSE), 2023
Mohammad Hossein Amini
Shervin Naseri
Shiva Nejati
275
19
0
30 Nov 2023
GIST: Generated Inputs Sets Transferability in Deep Learning
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Florian Tambon
Foutse Khomh
G. Antoniol
AAML
459
1
0
01 Nov 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language Models
IEEE Transactions on Software Engineering (TSE), 2023
Da Song
Xuan Xie
Yuheng Huang
Derui Zhu
Yuheng Huang
Felix Juefei Xu
Lei Ma
ALM
356
9
0
22 Oct 2023
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Wei Ma
Mike Papadakis
Yves Le Traon
NoLa
OOD
212
7
0
29 Jul 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Michael Weiss
Paolo Tonella
AI4CE
211
1
0
05 Apr 2023
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