When and Why Test Generators for Deep Learning Produce Invalid Inputs:
an Empirical Study

When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study

21 December 2022

Vincenzo Riccio

Paolo Tonella

Papers citing "When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study"

16 / 16 papers shown

Title
Towards Assessing Deep Learning Test Input Generators Seif Mzoughi Ahmed Hajyahmed Mohamed Elshafei Foutse Khomh anb Diego Elias Costa D. Costa AAML 37 0 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 42 0 0 22 Mar 2025
Benchmarking Generative AI Models for Deep Learning Test Input Generation Maryam Matteo Biagiola Andrea Stocco Vincenzo Riccio VLM 30 3 0 23 Dec 2024
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 Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 39 0 0 15 Oct 2024
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems Mohammad Hossein Amini Shiva Nejati 27 1 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 20 0 0 25 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 48 6 0 12 Apr 2024
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems Mohammad Hossein Amini Shervin Naseri Shiva Nejati 14 10 0 30 Nov 2023
GIST: Generated Inputs Sets Transferability in Deep Learning Florian Tambon Foutse Khomh G. Antoniol AAML 34 1 0 01 Nov 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language Models Da Song Xuan Xie Jiayang Song Derui Zhu Yuheng Huang Felix Juefei Xu Lei Ma ALM 27 3 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 22 3 0 29 Jul 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks Michael Weiss Paolo Tonella AI4CE 13 0 0 05 Apr 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014