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Refactoring Neural Networks for Verification

Refactoring Neural Networks for Verification

6 August 2019
David Shriver
Dong Xu
Sebastian G. Elbaum
Matthew B. Dwyer
ArXivPDFHTML

Papers citing "Refactoring Neural Networks for Verification"

6 / 6 papers shown
Title
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
Abstract Neural Networks
Abstract Neural Networks
Matthew Sotoudeh
Aditya V. Thakur
8
19
0
11 Sep 2020
CNN-Cert: An Efficient Framework for Certifying Robustness of
  Convolutional Neural Networks
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
108
138
0
29 Nov 2018
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
292
0
09 Aug 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
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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