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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"

50 / 127 papers shown
Title
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural
  Networks
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks
Hua Qi
Zhijie Wang
Qing-Wu Guo
Jianlang Chen
Felix Juefei Xu
L. Ma
Jianjun Zhao
AAML
AI4CE
22
16
0
26 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics
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
AequeVox: Automated Fairness Testing of Speech Recognition Systems
Sai Sathiesh Rajan
Sakshi Udeshi
Sudipta Chattopadhyay
20
15
0
19 Oct 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic
  Literature Review
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
32
39
0
16 Oct 2021
Automated Testing of AI Models
Automated Testing of AI Models
Swagatam Haldar
Deepak Vijaykeerthy
Diptikalyan Saha
VLM
17
0
0
07 Oct 2021
Discovering Boundary Values of Feature-based Machine Learning
  Classifiers through Exploratory Datamorphic Testing
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing
Hong Zhu
Ian Bayley
11
6
0
01 Oct 2021
Local Repair of Neural Networks Using Optimization
Local Repair of Neural Networks Using Optimization
K. Majd
Siyu Zhou
H. B. Amor
Georgios Fainekos
S. Sankaranarayanan
18
6
0
28 Sep 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation
  Score
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Vincenzo Riccio
Nargiz Humbatova
Gunel Jahangirova
Paolo Tonella
14
36
0
15 Sep 2021
Efficient Out-of-Distribution Detection Using Latent Space of
  $β$-VAE for Cyber-Physical Systems
Efficient Out-of-Distribution Detection Using Latent Space of βββ-VAE for Cyber-Physical Systems
Shreyas Ramakrishna
Zahra Rahiminasab
G. Karsai
Arvind Easwaran
Abhishek Dubey
OODD
19
27
0
26 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
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
25
65
0
26 Jul 2021
On Robustness of Lane Detection Models to Physical-World Adversarial
  Attacks in Autonomous Driving
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
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion
  based Perception in Autonomous Driving Under Physical-World Attacks
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
217
0
17 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks
Exposing Previously Undetectable Faults in Deep Neural Networks
Isaac Dunn
Hadrien Pouget
Daniel Kroening
T. Melham
AAML
26
28
0
01 Jun 2021
Distribution Awareness for AI System Testing
Distribution Awareness for AI System Testing
David Berend
21
8
0
06 May 2021
Metamorphic Detection of Repackaged Malware
Metamorphic Detection of Repackaged Malware
S. Singh
Gail E. Kaiser
19
8
0
27 Apr 2021
StyleLess layer: Improving robustness for real-world driving
StyleLess layer: Improving robustness for real-world driving
Julien Rebut
Andrei Bursuc
P. Pérez
22
5
0
25 Mar 2021
Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles
  Using Machine Learning
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
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
22
21
0
02 Mar 2021
Uncertainty Quantification by Ensemble Learning for Computational
  Optical Form Measurements
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements
L. Hoffmann
I. Fortmeier
Clemens Elster
UQCV
19
28
0
01 Mar 2021
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks
Muhammad Usman
Yannic Noller
C. Păsăreanu
Youcheng Sun
D. Gopinath
19
8
0
27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models
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
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images
Yu-cui Shen
L. Zheng
Manli Shu
Weizi Li
Tom Goldstein
Ming Lin
AAML
34
6
0
26 Feb 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through
  Neural Payload Injection
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
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
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
75
100
0
04 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
27
120
0
14 Dec 2020
Automatic Test Suite Generation for Key-Points Detection DNNs using
  Many-Objective Search (Experience Paper)
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
Characterizing and Taming Model Instability Across Edge Devices
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
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
12
267
0
30 Sep 2020
Deep Learning & Software Engineering: State of Research and Future
  Directions
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
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
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
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
23
53
0
14 May 2020
Towards Characterizing Adversarial Defects of Deep Learning Software
  from the Lens of Uncertainty
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
8
76
0
24 Apr 2020
A Survey of End-to-End Driving: Architectures and Training Methods
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
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
17
52
0
12 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
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
Manifold-based Test Generation for Image Classifiers
Taejoon Byun
Abhishek Vijayakumar
Sanjai Rayadurgam
D. Cofer
10
9
0
15 Feb 2020
Importance-Driven Deep Learning System Testing
Importance-Driven Deep Learning System Testing
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAML
VLM
27
97
0
09 Feb 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
37
97
0
07 Feb 2020
A Little Fog for a Large Turn
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
ReluDiff: Differential Verification of Deep Neural Networks
Brandon Paulsen
Jingbo Wang
Chao Wang
22
53
0
10 Jan 2020
Arachne: Search Based Repair of Deep Neural Networks
Arachne: Search Based Repair of Deep Neural Networks
Jeongju Sohn
Sungmin Kang
S. Yoo
KELM
27
44
0
28 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
31
144
0
02 Dec 2019
Distortion and Faults in Machine Learning Software
Distortion and Faults in Machine Learning Software
S. Nakajima
12
4
0
25 Nov 2019
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning
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
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
19
32
0
14 Nov 2019
Algorithmic decision-making in AVs: Understanding ethical and technical
  concerns for smart cities
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities
H. S. M. Lim
Araz Taeihagh
8
82
0
29 Oct 2019
An Empirical Study towards Characterizing Deep Learning Development and
  Deployment across Different Frameworks and Platforms
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
33
122
0
15 Sep 2019
Structure-Invariant Testing for Machine Translation
Structure-Invariant Testing for Machine Translation
Pinjia He
Clara Meister
Z. Su
24
104
0
19 Jul 2019
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