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1910.06715
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Testing and verification of neural-network-based safety-critical control software: A systematic literature review
5 October 2019
Jin Zhang
Jingyue Li
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Papers citing
"Testing and verification of neural-network-based safety-critical control software: A systematic literature review"
27 / 27 papers shown
Title
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
Milin Patel
Rolf Jung
M. Khatun
92
0
0
04 Mar 2025
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Divake Kumar
Nastaran Darabi
Sina Tayebati
A. R. Trivedi
154
0
0
11 Feb 2025
Software Engineering Challenges of Deep Learning
Anders Arpteg
B. Brinne
L. Crnkovic-Friis
J. Bosch
66
174
0
29 Oct 2018
Experimental Resilience Assessment of An Open-Source Driving Agent
A. Rubaiyat
Yongming Qin
H. Alemzadeh
45
44
0
17 Jul 2018
Toward Scalable Verification for Safety-Critical Deep Networks
L. Kuper
Guy Katz
Justin Emile Gottschlich
Kyle D. Julian
Clark W. Barrett
Mykel Kochenderfer
86
40
0
18 Jan 2018
Towards Proving the Adversarial Robustness of Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel J. Kochenderfer
AAML
OOD
49
118
0
08 Sep 2017
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
38
736
0
21 Aug 2017
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
52
104
0
30 Jun 2017
Interpretability via Model Extraction
Osbert Bastani
Carolyn Kim
Hamsa Bastani
FAtt
47
129
0
29 Jun 2017
Real Time Image Saliency for Black Box Classifiers
P. Dabkowski
Y. Gal
62
586
0
22 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
133
800
0
28 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
74
1,514
0
11 Apr 2017
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
148
3,848
0
10 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
A. Ross
M. C. Hughes
Finale Doshi-Velez
FAtt
113
585
0
10 Mar 2017
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
149
5,920
0
04 Mar 2017
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
T. Dreossi
Alexandre Donzé
Sanjit A. Seshia
AAML
77
230
0
02 Mar 2017
Detecting Adversarial Samples from Artifacts
Reuben Feinman
Ryan R. Curtin
S. Shintre
Andrew B. Gardner
AAML
84
892
0
01 Mar 2017
On Detecting Adversarial Perturbations
J. H. Metzen
Tim Genewein
Volker Fischer
Bastian Bischoff
AAML
59
947
0
14 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
297
1,849
0
03 Feb 2017
Cyber-Physical Systems Security -- A Survey
Abdulmalik Humayed
Jingqiang Lin
Fengjun Li
Bo Luo
41
780
0
17 Jan 2017
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
200
935
0
21 Oct 2016
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
59
423
0
24 May 2016
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
210
9,280
0
14 Dec 2015
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
252
13,174
0
09 Sep 2015
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
99
1,959
0
26 Nov 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
209
14,831
1
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
400
15,825
0
12 Nov 2013
1