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

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

28 August 2017
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
    AAML
ArXivPDFHTML

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

27 / 127 papers shown
Title
Metamorphic Testing of a Deep Learning based Forecaster
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
A Systematic Mapping Study on Testing of Machine Learning Programs
S. Sherin
Muhammad Uzair Khan
Muhammad Zohaib Z. Iqbal
14
13
0
11 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
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
A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
37
1,344
0
12 Jun 2019
Enhancing Gradient-based Attacks with Symbolic Intervals
Enhancing Gradient-based Attacks with Symbolic Intervals
Shiqi Wang
Yizheng Chen
Ahmed Abdou
Suman Jana
AAML
23
15
0
05 Jun 2019
Testing DNN Image Classifiers for Confusion & Bias Errors
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
Test Selection for Deep Learning Systems
Test Selection for Deep Learning Systems
Wei Ma
Mike Papadakis
Anestis Tsakmalis
Maxime Cordy
Yves Le Traon
OOD
21
91
0
30 Apr 2019
Algorithms for Verifying Deep Neural Networks
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
30
390
0
15 Mar 2019
Simple Physical Adversarial Examples against End-to-End Autonomous
  Driving Models
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Adith Boloor
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
13
74
0
12 Mar 2019
Grammar Based Directed Testing of Machine Learning Systems
Grammar Based Directed Testing of Machine Learning Systems
Sakshi Udeshi
Sudipta Chattopadhyay
16
15
0
26 Feb 2019
Challenges in Designing Datasets and Validation for Autonomous Driving
Challenges in Designing Datasets and Validation for Autonomous Driving
Michal Uřičář
David Hurych
P. Krízek
S. Yogamani
20
34
0
26 Jan 2019
Input Prioritization for Testing Neural Networks
Input Prioritization for Testing Neural Networks
Taejoon Byun
Vaibhav Sharma
Abhishek Vijayakumar
Sanjai Rayadurgam
D. Cofer
AAML
26
67
0
11 Jan 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover
  Catastrophic Failures
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
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
30
298
0
28 Nov 2018
DeepSaucer: Unified Environment for Verifying Deep Neural Networks
DeepSaucer: Unified Environment for Verifying Deep Neural Networks
Naoto Sato
Duong Nguyen Anh
M. Kaneko
Yuichiroh Nakagawa
H. Ogawa
Son Hoang
Michael J. Butler
8
1
0
09 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Yue Zhang
Yizheng Chen
Ahmed Abdou
M. Guizani
AAML
19
23
0
06 Nov 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep
  Convolutional Networks
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
19
67
0
30 Sep 2018
Vision-based Navigation of Autonomous Vehicle in Roadway Environments
  with Unexpected Hazards
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
Automated Test Generation to Detect Individual Discrimination in AI Models
Aniya Aggarwal
P. Lohia
Seema Nagar
Kuntal Dey
Diptikalyan Saha
13
40
0
10 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
32
40
0
04 Sep 2018
Experimental Resilience Assessment of An Open-Source Driving Agent
Experimental Resilience Assessment of An Open-Source Driving Agent
A. Rubaiyat
Yongming Qin
H. Alemzadeh
19
44
0
17 Jul 2018
Testing Untestable Neural Machine Translation: An Industrial Case
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
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing
Jingyi Wang
Jun Sun
Peixin Zhang
Xinyu Wang
AAML
19
41
0
14 May 2018
SdcNet: A Computation-Efficient CNN for Object Recognition
SdcNet: A Computation-Efficient CNN for Object Recognition
Yunlong Ma
Chunyan Wang
21
3
0
03 May 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
20
472
0
28 Apr 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
231
1,837
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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