DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

28 August 2017

Papers citing "DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars"

50 / 145 papers shown

Title
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 45 44 0 20 Dec 2021
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs Mohammad Wardat Breno Dantas Cruz Wei Le Hridesh Rajan 24 52 0 07 Dec 2021
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion Yuanyuan Yuan Qi Pang Shuai Wang 43 22 0 03 Dec 2021
Understanding Performance Problems in Deep Learning Systems Junming Cao Bihuan Chen Chao Sun Longjie Hu Shuai Wu Xin Peng 30 27 0 03 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 43 60 0 02 Dec 2021
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks Hua Qi Zhijie Wang Qing Guo Jianlang Chen Felix Juefei Xu Lei Ma Jianjun Zhao AAML AI4CE 32 16 0 26 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 19 43 0 17 Nov 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems Sai Sathiesh Rajan Sakshi Udeshi Sudipta Chattopadhyay 28 15 0 19 Oct 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review Xinhai Zhang Jianbo Tao Kaige Tan Martin Törngren José Manuel Gaspar Sánchez ... Magnus Gyllenhammar F. Wotawa N. Mohan Mihai Nica Hermann Felbinger 35 39 0 16 Oct 2021
Automated Testing of AI Models Swagatam Haldar Deepak Vijaykeerthy Diptikalyan Saha VLM 21 0 0 07 Oct 2021
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing Hong Zhu Ian Bayley 16 6 0 01 Oct 2021
Local Repair of Neural Networks Using Optimization K. Majd Siyu Zhou H. B. Amor Georgios Fainekos S. Sankaranarayanan 30 6 0 28 Sep 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 23 36 0 15 Sep 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 21 27 0 26 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving Takami Sato Qi Alfred Chen AAML ELM 35 6 0 06 Jul 2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks Suyoung Lee Wonho Song Suman Jana M. Cha Sooel Son AAML 19 13 0 18 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Bo-wen Li AAML 24 218 0 17 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 28 28 0 01 Jun 2021
Distribution Awareness for AI System Testing David Berend 24 8 0 06 May 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 24 8 0 27 Apr 2021
StyleLess layer: Improving robustness for real-world driving Julien Rebut Andrei Bursuc P. Pérez 30 5 0 25 Mar 2021
Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine Learning Srivalli Boddupalli Akash Rao S. Ray 17 42 0 18 Mar 2021
DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers Colin Paterson Haoze Wu John M. Grese R. Calinescu C. Păsăreanu Clark W. Barrett AAML 30 21 0 02 Mar 2021
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements L. Hoffmann I. Fortmeier Clemens Elster UQCV 25 28 0 01 Mar 2021
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks Muhammad Usman Yannic Noller C. Păsăreanu Youcheng Sun D. Gopinath 32 8 0 27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 39 6 0 26 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 27 7 0 09 Feb 2021
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS) Richard Hawkins Colin Paterson Chiara Picardi Yan Jia R. Calinescu Ibrahim Habli 18 80 0 02 Feb 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 38 55 0 24 Jan 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 48 170 0 13 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 33 120 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
Software engineering for artificial intelligence and machine learning software: A systematic literature review E. Nascimento Anh Nguyen-Duc Ingrid Sundbø T. Conte 16 40 0 07 Nov 2020
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 14 7 0 18 Oct 2020
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges Liangkai Liu Sidi Lu Ren Zhong Baofu Wu Yongtao Yao Qingyan Zhang Weisong Shi 27 267 0 30 Sep 2020
Deep Learning & Software Engineering: State of Research and Future Directions P. Devanbu Matthew B. Dwyer Sebastian G. Elbaum M. Lowry Kevin Moran Denys Poshyvanyk Baishakhi Ray Rishabh Singh Xiangyu Zhang 11 22 0 17 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation Sungmin Kang R. Feldt S. Yoo AAML 26 32 0 19 May 2020
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI Daniel J. Fremont Johnathan Chiu D. Margineantu Denis Osipychev S. Seshia 31 53 0 14 May 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 16 76 0 24 Apr 2020
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction Zitao Chen Guanpeng Li Karthik Pattabiraman AAML AI4CE 28 17 0 30 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 228 0 13 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Jin Young Lee AAML 28 52 0 12 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 25 15 0 04 Mar 2020
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 18 9 0 15 Feb 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 30 98 0 09 Feb 2020