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DeepXplore: Automated Whitebox Testing of Deep Learning Systems

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
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
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
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
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
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
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
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
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
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
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
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
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
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
37
40
0
04 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and
  Adaption of Software Process Requirements in ISO 26262
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
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
Visualizing and Understanding Deep Neural Networks in CTR Prediction
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Safety Verification of Deep Neural Networks
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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