Model-based Exploration of the Frontier of Behaviours for Deep Learning
System Testing

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

6 July 2020

Vincenzo Riccio

Paolo Tonella

Papers citing "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"

18 / 18 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 42 0 0 03 Apr 2025
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification Ruben Grewal Paolo Tonella Andrea Stocco 50 12 0 29 Apr 2024
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects Han Wang Sijia Yu Chunyang Chen Burak Turhan Xiaodong Zhu ELM MLAU 28 2 0 26 Feb 2024
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 44 19 0 22 May 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 27 26 0 19 May 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 33 1 0 06 Mar 2023
AmbieGen: A Search-based Framework for Autonomous Systems Testing D. Humeniuk Foutse Khomh G. Antoniol 30 13 0 01 Jan 2023
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study Vincenzo Riccio Paolo Tonella AAML 24 29 0 21 Dec 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems Fitash Ul Haq Donghwan Shin Lionel C. Briand OffRL 52 40 0 27 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 45 22 0 03 Oct 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 18 6 0 21 Jul 2022
Hierarchical Distribution-Aware Testing of Deep Learning Wei Huang Xingyu Zhao Alec Banks V. Cox Xiaowei Huang OOD AAML 47 10 0 17 May 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 26 3 0 16 May 2022
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems Andrea Stocco Brian Pulfer Paolo Tonella 27 69 0 21 Dec 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning Raul Sena Ferreira J. Arlat Jérémie Guiochet H. Waeselynck 46 26 0 04 Oct 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 23 37 0 15 Sep 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper) Fitash Ul Haq Donghwan Shin Lionel C. Briand Thomas Stifter Jun Wang AAML 21 19 0 11 Dec 2020