Can Offline Testing of Deep Neural Networks Replace Their Online
Testing?

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Can Offline Testing of Deep Neural Networks Replace Their Online Testing?

26 January 2021

Lionel C. Briand

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Papers citing "Can Offline Testing of Deep Neural Networks Replace Their Online Testing?"

17 / 17 papers shown

Title
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Stefano Carlo Lambertenghi Hannes Leonhard Andrea Stocco AAML 461 2 0 21 Jan 2025
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems Mohammad Hossein Amini Shiva Nejati 72 1 0 25 Aug 2024
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration Chih-Hong Cheng Paul Stöckel Xingyu Zhao 71 2 0 10 Feb 2024
Combating the effects of speed and delays in end-to-end self-driving Ardi Tampuu Ilmar Uduste Kristjan Roosild OffRL 54 2 0 06 Dec 2023
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems Mohammad Hossein Amini Shervin Naseri Shiva Nejati 99 13 0 30 Nov 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation Jay Sarva Jingkang Wang James Tu Yuwen Xiong S. Manivasagam R. Urtasun 126 10 0 02 Nov 2023
On Offline Evaluation of 3D Object Detection for Autonomous Driving Tim Schreier Katrin Renz Andreas Geiger Kashyap Chitta OffRL 3DPC 83 9 0 24 Aug 2023
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems Matteo Biagiola Paolo Tonella 51 6 0 20 Jul 2023
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing Matteo Biagiola Andrea Stocco Vincenzo Riccio Paolo Tonella 61 13 0 14 May 2023
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search S. Sharifi Donghwan Shin Lionel C. Briand Nathan Aschbacher 70 3 0 31 Jan 2023
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches M. Attaoui Hazem M. Fahmy F. Pastore Lionel C. Briand AI4CE 60 5 0 31 Jan 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 76 11 0 14 Dec 2022
Learning Failure-Inducing Models for Testing Software-Defined Networks Raphaël Ollando Seung Yeob Shin Lionel C. Briand 57 1 0 27 Oct 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems Fitash Ul Haq Donghwan Shin Lionel C. Briand OffRL 88 41 0 27 Oct 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System Markus Borg Jens Henriksson Kasper Socha Olof Lennartsson Elias Sonnsjo Lonegren T. Bui Piotr Tomaszewski S. Sathyamoorthy Sebastian Brink M. H. Moghadam 84 25 0 16 Apr 2022
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems Hazem M. Fahmy F. Pastore Lionel C. Briand Thomas Stifter AAML 74 15 0 01 Apr 2022
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing M. H. Moghadam Markus Borg Mehrdad Saadatmand Seyed Jalaleddin Mousavirad M. Bohlin B. Lisper 64 12 0 22 Mar 2022