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 / 151 papers shown

Title
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 41 97 0 07 Feb 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 15 9 0 16 Jan 2020
ReluDiff: Differential Verification of Deep Neural Networks Brandon Paulsen Jingbo Wang Chao Wang 27 53 0 10 Jan 2020
Automated Testing for Deep Learning Systems with Differential Behavior Criteria Yuan Gao Yiqiang Han 9 2 0 31 Dec 2019
Arachne: Search Based Repair of Deep Neural Networks Jeongju Sohn Sungmin Kang S. Yoo KELM 30 46 0 28 Dec 2019
Metamorphic Testing for Object Detection Systems Shuai Wang Z. Su 34 23 0 19 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 36 144 0 02 Dec 2019
Distortion and Faults in Machine Learning Software S. Nakajima 12 4 0 25 Nov 2019
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning Samet Demir Hasan Ferit Eniser A. Sen AAML 11 28 0 24 Nov 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 21 32 0 14 Nov 2019
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities H. S. M. Lim Araz Taeihagh 24 82 0 29 Oct 2019
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure Ioannis C. Konstantakopoulos Hari Prasanna Das Andrew R. Barkan Shiying He Tanya Veeravalli Huihan Liu Aummul Baneen Manasawala Yu-Wen Lin C. Spanos 27 21 0 16 Oct 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 19 106 0 02 Oct 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 38 122 0 15 Sep 2019
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces Run Wang Felix Juefei Xu Lei Ma Xiaofei Xie Yihao Huang Jian-Xun Wang Yang Liu AAML CVBM 23 54 0 13 Sep 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
Metamorphic Testing of a Deep Learning based Forecaster Anurag Dwarakanath Manish Ahuja Sanjay Podder Silja Vinu Arijit Naskar M. Koushik AI4TS 11 9 0 13 Jul 2019
A Systematic Mapping Study on Testing of Machine Learning Programs S. Sherin Muhammad Uzair Khan Muhammad Zohaib Z. Iqbal 30 13 0 11 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 36 126 0 09 Jul 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 739 0 19 Jun 2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever Jacob Lambert Alexander Carballo K. Takeda 52 1,345 0 12 Jun 2019
Enhancing Gradient-based Attacks with Symbolic Intervals Shiqi Wang Yizheng Chen Ahmed Abdou Suman Jana AAML 28 15 0 05 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 21 187 0 29 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 24 52 0 20 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 27 116 0 10 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 21 92 0 30 Apr 2019
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction Alesia Chernikova Alina Oprea Cristina Nita-Rotaru Baekgyu Kim AAML 11 72 0 15 Apr 2019
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 36 392 0 15 Mar 2019
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models Adith Boloor Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 21 74 0 12 Mar 2019
Grammar Based Directed Testing of Machine Learning Systems Sakshi Udeshi Sudipta Chattopadhyay 21 15 0 26 Feb 2019
Challenges in Designing Datasets and Validation for Autonomous Driving Michal Uřičář David Hurych P. Krízek S. Yogamani 22 34 0 26 Jan 2019
Input Prioritization for Testing Neural Networks Taejoon Byun Vaibhav Sharma Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer AAML 29 67 0 11 Jan 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 47 299 0 28 Nov 2018
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy Naman Patel Apoorva Nandini Saridena A. Choromańska Prashanth Krishnamurthy Farshad Khorrami 12 18 0 12 Nov 2018
DeepSaucer: Unified Environment for Verifying Deep Neural Networks Naoto Sato Duong Nguyen Anh M. Kaneko Yuichiroh Nakagawa H. Ogawa Son Hoang Michael J. Butler 13 1 0 09 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 21 23 0 06 Nov 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 22 67 0 30 Sep 2018
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards Mhafuzul Islam M. Chowdhury Hongda Li Hongxin Hu AAML 16 12 0 27 Sep 2018
Automated Test Generation to Detect Individual Discrimination in AI Models Aniya Aggarwal P. Lohia Seema Nagar Kuntal Dey Diptikalyan Saha 15 40 0 10 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer Alvin Chan Lei Ma Felix Juefei Xu Xiaofei Xie Yang Liu Yew-Soon Ong OOD AAML 14 17 0 07 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Bo-wen Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See 43 40 0 04 Sep 2018
Experimental Resilience Assessment of An Open-Source Driving Agent A. Rubaiyat Yongming Qin H. Alemzadeh 27 44 0 17 Jul 2018
Testing Untestable Neural Machine Translation: An Industrial Case Wujie Zheng Wenyu Wang Dian Liu Changrong Zhang Qinsong Zeng Yuetang Deng Wei Yang Pinjia He Tao Xie 4 24 0 06 Jul 2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing Jingyi Wang Jun Sun Peixin Zhang Xinyu Wang AAML 21 41 0 14 May 2018
SdcNet: A Computation-Efficient CNN for Object Recognition Yunlong Ma Chunyan Wang 21 3 0 03 May 2018
Concolic Testing for Deep Neural Networks Youcheng Sun Min Wu Wenjie Ruan Xiaowei Huang Marta Kwiatkowska Daniel Kroening 20 333 0 30 Apr 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 25 473 0 28 Apr 2018
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm Wenjie Ruan Min Wu Youcheng Sun Xiaowei Huang Daniel Kroening Marta Kwiatkowska AAML 11 38 0 16 Apr 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,842 0 03 Feb 2017