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There is Limited Correlation between Coverage and Robustness for Deep
  Neural Networks

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks

14 November 2019
Yizhen Dong
Peixin Zhang
Jingyi Wang
Shuang Liu
Jun Sun
Jianye Hao
Xinyu Wang
Li Wang
J. Dong
Ting Dai
    OOD
    AAML
ArXivPDFHTML

Papers citing "There is Limited Correlation between Coverage and Robustness for Deep Neural Networks"

7 / 7 papers shown
Title
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework
  Based on Excitable Neurons
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
20
6
0
12 Feb 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
M. Bagherzadeh
AAML
37
44
0
20 Dec 2021
A Review and Refinement of Surprise Adequacy
A Review and Refinement of Surprise Adequacy
Michael Weiss
Rwiddhi Chakraborty
Paolo Tonella
AAML
AI4TS
13
16
0
10 Mar 2021
Coverage Guided Testing for Recurrent Neural Networks
Coverage Guided Testing for Recurrent Neural Networks
Wei Huang
Youcheng Sun
Xing-E. Zhao
James Sharp
Wenjie Ruan
Jie Meng
Xiaowei Huang
AAML
17
47
0
05 Nov 2019
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
228
1,835
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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