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1705.06640
Cited By
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
18 May 2017
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
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Papers citing
"DeepXplore: Automated Whitebox Testing of Deep Learning Systems"
33 / 183 papers shown
Title
Grammar Based Directed Testing of Machine Learning Systems
Sakshi Udeshi
Sudipta Chattopadhyay
19
15
0
26 Feb 2019
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems
Shreyas Ramakrishna
Charles Hartsell
Matthew P. Burruss
G. Karsai
A. Dubey
13
14
0
06 Feb 2019
Challenges in Designing Datasets and Validation for Autonomous Driving
Michal Uřičář
David Hurych
P. Krízek
S. Yogamani
20
34
0
26 Jan 2019
Towards Testing of Deep Learning Systems with Training Set Reduction
Helge Spieker
A. Gotlieb
15
9
0
14 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
The Art, Science, and Engineering of Fuzzing: A Survey
Valentin J. M. Manès
HyungSeok Han
Choongwoo Han
S. Cha
Manuel Egele
Edward J. Schwartz
Maverick Woo
AI4CE
11
450
0
01 Dec 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
10
1
0
09 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Yue Zhang
Yizheng Chen
Ahmed Abdou
Mohsen Guizani
AAML
19
23
0
06 Nov 2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
L. Ma
Felix Juefei Xu
Minhui Xue
Q. Hu
Sen Chen
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
AAML
27
35
0
10 Oct 2018
Deep Neural Networks for Pattern Recognition
Kyongsik Yun
Alexander Huyen
Thomas Lu
21
30
0
25 Sep 2018
Scenic: A Language for Scenario Specification and Scene Generation
Daniel J. Fremont
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
42
246
0
25 Sep 2018
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
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
37
40
0
04 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
Rick Salay
Krzysztof Czarnecki
25
69
0
05 Aug 2018
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
Wujie Zheng
Wenyu Wang
Dian Liu
Changrong Zhang
Qinsong Zeng
Yuetang Deng
Wei Yang
Pinjia He
Tao Xie
4
24
0
06 Jul 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Lin Guo
Hui Ye
Wenbo Su
He Liu
Kai Sun
Hang Xiang
FAtt
HAI
10
7
0
22 Jun 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
Concolic Testing for Deep Neural Networks
Youcheng Sun
Min Wu
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
Daniel Kroening
14
333
0
30 Apr 2018
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
52
865
0
30 Apr 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
22
472
0
28 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
27
484
0
12 Apr 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
Bojian Zheng
Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
23
80
0
16 Mar 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization
Shromona Ghosh
Felix Berkenkamp
G. Ranade
S. Qadeer
Ashish Kapoor
AAML
25
45
0
23 Feb 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
23
1,388
0
08 Dec 2017
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
38
596
0
31 Oct 2017
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot
Gaëtan Hadjeres
F. Pachet
MGen
34
297
0
05 Sep 2017
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
27
104
0
30 Jun 2017
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
T. Dreossi
Alexandre Donzé
S. Seshia
AAML
26
230
0
02 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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