Abstract is missing.
- Keynote SpeakerPaolo Tonella. [doi]
- Model-based Data-Complexity Estimator for Deep Learning SystemsYuta Ojima, Shingo Horiuchi, Fuyuki Ishikawa. 1-8 [doi]
- Detection and Mitigation of Rare Subclasses in Deep Neural Network ClassifiersColin Paterson, Radu Calinescu, Chiara Picardi. 9-16 [doi]
- Evaluation of T-Way Testing of DNNs in Autonomous Driving SystemsJaganmohan Chandrasekaran, Ankita Ramjibhai Patel, Yu Lei 0001, Raghu Kacker, D. Richard Kuhn. 17-18 [doi]
- Evolutionary Generation of Test Case for Deep Neural Network Based on Coverage GuidanceLiming Hu, Shunhui Ji, Qiyin Dai, Pengcheng Zhang. 19-20 [doi]
- Efficient Computation of Robustness of Convolutional Neural NetworksPaolo Arcaini, Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini. 21-28 [doi]
- AI robustness analysis with consideration of corner casesTinghui Ouyang, Yoshinao Isobe, Vicent Sanz Marco, Jun Ogata, Yoshiki Seo, Yutaka Oiwa. 29-36 [doi]
- Improving Robustness of Deep Learning Systems with Fast and Customizable Adversarial Data GenerationMehmet Melih Arici, Alper Sen 0001. 37-38 [doi]
- Heuristic-word-selection Genetic Algorithm for Generating Natural Language Adversarial ExamplesShijun Ye, Pengcheng Zhang, Hai Dong, Shunhui Ji. 39-40 [doi]
- Towards Trace-Graphs for Data-driven Test Case Mining in the Domain of Automated DrivingNoah Metzger, Lars Hoffmann, Christian Bartelt, Heiner Stuckenschmidt, Michael Wommer, Maria Belen Bescos del Castillo. 41-48 [doi]
- Testing Autonomous Systems with Believed Equivalence RefinementChih-Hong Cheng, Rongjie Yan. 49-56 [doi]
- Safety Metrics for Semantic Segmentation in Autonomous DrivingChih-Hong Cheng, Alois C. Knoll, Hsuan-Cheng Liao. 57-64 [doi]
- SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testingDhasarathy Parthasarathy, Anton Johansson. 65-72 [doi]
- Building a Reusable Defect Resolution Time Prediction Model Based on a Massive Open-Source Dataset: An Industrial ReportMurad Mamedov, Ksenia Vorontsova, Elena Treshcheva, Iosif Itkin. 73-80 [doi]
- An Industrial Workbench for Test Scenario Identification for Autonomous Driving SoftwareQunying Song, Kaige Tan, Per Runeson, Stefan Persson. 81-82 [doi]
- Ethical AI-Powered Regression Test SelectionPer Erik Strandberg, Mirgita Frasheri, Eduard Paul Enoiu. 83-84 [doi]
- Quantifying Nondeterminism and Inconsistency in Self-organizing Map ImplementationsSydur Rahaman, Raina Samuel, Iulian Neamtiu. 85-92 [doi]
- Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous DrivingFerhat Özgür Catak, Tao Yue 0002, Shaukat Ali 0001. 93-100 [doi]
- Validating Gaussian Process Models with Simulation-Based CalibrationJohn McLeod, Fergus Simpson. 101-102 [doi]
- Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVLHamid Ebadi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha. 103-110 [doi]
- An Empirical Testing of Autonomous Vehicle Simulator System for Urban DrivingJohn Seymour, Dac-Thanh-Chuong Ho, Quang-Hung Luu. 111-117 [doi]
- Critical and Challenging Scenario Generation based on Automatic Action Behavior Sequence Optimization: 2021 IEEE Autonomous Driving AI Test Challenge Group 108David Kaufmann, Lorenz Klampfl, Florian Klück, Martin Zimmermann 0007, Jianbo Tao. 118-127 [doi]
- SALVO: Automated Generation of Diversified Tests for Self-driving Cars from Existing MapsVuong Nguyen, Stefan Huber, Alessio Gambi. 128-135 [doi]
- Addressing the IEEE AV Test Challenge with Scenic and VerifAIKesav Viswanadha, Francis Indaheng, Justin Wong, Edward Kim, Ellen Kalvan, Yash Pant, Daniel J. Fremont, Sanjit A. Seshia. 136-142 [doi]
- ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous VehiclesAndrea Piazzoni, Jim Cherian, Mohamed Azhar, Jing Yew Yap, James Lee Wei Shung, Roshan Vijay. 143-150 [doi]