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2009.08525
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Deep Learning & Software Engineering: State of Research and Future Directions
17 September 2020
P. Devanbu
Matthew B. Dwyer
Sebastian G. Elbaum
M. Lowry
Kevin Moran
Denys Poshyvanyk
Baishakhi Ray
Rishabh Singh
Xiangyu Zhang
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Papers citing
"Deep Learning & Software Engineering: State of Research and Future Directions"
33 / 33 papers shown
Title
Refactoring Neural Networks for Verification
David Shriver
Dong Xu
Sebastian G. Elbaum
Matthew B. Dwyer
46
7
0
06 Aug 2019
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
94
400
0
15 Mar 2019
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen
Steve Kommrusch
Michele Tufano
L. Pouchet
Denys Poshyvanyk
Monperrus Martin
KELM
68
439
0
24 Dec 2018
The Adverse Effects of Code Duplication in Machine Learning Models of Code
Miltiadis Allamanis
61
320
0
16 Dec 2018
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
128
138
0
29 Nov 2018
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
53
391
0
17 Nov 2018
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
68
404
0
19 Sep 2018
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Augustus Odena
Ian Goodfellow
AAML
61
322
0
28 Jul 2018
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
OffRL
129
337
0
22 May 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
74
271
0
06 May 2018
Concolic Testing for Deep Neural Networks
Youcheng Sun
Min Wu
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
Daniel Kroening
63
334
0
30 Apr 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
84
478
0
28 Apr 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng
Huan Zhang
Hongge Chen
Zhao Song
Cho-Jui Hsieh
Duane S. Boning
Inderjit S. Dhillon
Luca Daniel
AAML
108
695
0
25 Apr 2018
Semantic Adversarial Deep Learning
Sanjit A. Seshia
S. Jha
T. Dreossi
AAML
SILM
48
91
0
19 Apr 2018
Programmatically Interpretable Reinforcement Learning
Abhinav Verma
V. Murali
Rishabh Singh
Pushmeet Kohli
Swarat Chaudhuri
117
353
0
06 Apr 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma
Felix Juefei Xu
Fuyuan Zhang
Jiyuan Sun
Minhui Xue
...
Ting Su
Li Li
Yang Liu
Jianjun Zhao
Yadong Wang
ELM
67
622
0
20 Mar 2018
A Dual Approach to Scalable Verification of Deep Networks
Krishnamurthy Dvijotham
Dvijotham
Robert Stanforth
Sven Gowal
Timothy A. Mann
Pushmeet Kohli
54
399
0
17 Mar 2018
Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps
Kevin Moran
Carlos Bernal-Cárdenas
Michael Curcio
R. Bonett
Denys Poshyvanyk
75
206
0
07 Feb 2018
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
111
968
0
29 Jan 2018
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong
J. Zico Kolter
AAML
125
1,503
0
02 Nov 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
64
1,359
0
28 Aug 2017
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
108
294
0
09 Aug 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
88
1,367
0
18 May 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Rüdiger Ehlers
102
626
0
03 May 2017
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
70
196
0
01 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
318
1,868
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
219
943
0
21 Oct 2016
Towards Verified Artificial Intelligence
Sanjit A. Seshia
Dorsa Sadigh
S. Shankar Sastry
51
203
0
27 Jun 2016
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
225
2,389
0
21 Jun 2016
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
89
424
0
24 May 2016
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,170
0
25 Apr 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
0
20 Dec 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
275
14,927
1
21 Dec 2013
1