Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.07722
Cited By
Improving Neural Network Verification through Spurious Region Guided Refinement
15 October 2020
Pengfei Yang
Renjue Li
Jianlin Li
Cheng-Chao Huang
Jingyi Wang
Jun Sun
Bai Xue
Lijun Zhang
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Improving Neural Network Verification through Spurious Region Guided Refinement"
20 / 20 papers shown
Title
DeepAbstract: Neural Network Abstraction for Accelerating Verification
P. Ashok
Vahid Hashemi
Jan Křetínský
S. Mohr
30
50
0
24 Jun 2020
Verification of Deep Convolutional Neural Networks Using ImageStars
Hoang-Dung Tran
Stanley Bak
Weiming Xiang
Taylor T. Johnson
AAML
51
129
0
12 Apr 2020
An Abstraction-Based Framework for Neural Network Verification
Y. Elboher
Justin Emile Gottschlich
Guy Katz
99
126
0
31 Oct 2019
Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness
Greg Anderson
Shankara Pailoor
Işıl Dillig
Swarat Chaudhuri
AAML
70
101
0
22 Apr 2019
Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification
Jianlin Li
Pengfei Yang
Jiangchao Liu
Liqian Chen
Xiaowei Huang
Lijun Zhang
AAML
61
80
0
26 Feb 2019
Robustness of Neural Networks: A Probabilistic and Practical Approach
Ravi Mangal
A. Nori
A. Orso
AAML
OOD
49
76
0
15 Feb 2019
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Jingyi Wang
Guoliang Dong
Jun Sun
Xinyu Wang
Peixin Zhang
AAML
43
191
0
14 Dec 2018
A Statistical Approach to Assessing Neural Network Robustness
Stefan Webb
Tom Rainforth
Yee Whye Teh
M. P. Kumar
AAML
55
83
0
17 Nov 2018
Deep Neural Network Compression for Aircraft Collision Avoidance Systems
Kyle D. Julian
Mykel J. Kochenderfer
Michael P. Owen
47
172
0
09 Oct 2018
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees
Min Wu
Matthew Wicker
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
50
111
0
10 Jul 2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing
Jingyi Wang
Jun Sun
Peixin Zhang
Xinyu Wang
AAML
46
41
0
14 May 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
74
271
0
06 May 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
100
694
0
25 Apr 2018
Feature-Guided Black-Box Safety Testing of Deep Neural Networks
Matthew Wicker
Xiaowei Huang
Marta Kwiatkowska
AAML
46
235
0
21 Oct 2017
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska
S. Kasiviswanathan
L. Ryzhyk
Shmuel Sagiv
T. Walsh
AAML
64
217
0
19 Sep 2017
An approach to reachability analysis for feed-forward ReLU neural networks
A. Lomuscio
Lalit Maganti
63
359
0
22 Jun 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Rüdiger Ehlers
102
626
0
03 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
315
1,867
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
215
943
0
21 Oct 2016
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
268
14,918
1
21 Dec 2013
1