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1803.07519
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DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
20 March 2018
Lei Ma
Felix Juefei Xu
Fuyuan Zhang
Jiyuan Sun
Minhui Xue
Bo Li
Chunyang Chen
Ting Su
Li Li
Yang Liu
Jianjun Zhao
Yadong Wang
ELM
Re-assign community
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Papers citing
"DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems"
6 / 106 papers shown
Title
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
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
62
115
0
07 Jun 2018
Concolic Testing for Deep Neural Networks
Youcheng Sun
Min Wu
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
Daniel Kroening
31
334
0
30 Apr 2018
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
50
87
0
02 Oct 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
368
5,849
0
08 Jul 2016
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