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DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing

DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing

4 September 2018
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
ArXivPDFHTML

Papers citing "DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing"

6 / 6 papers shown
Title
Software Testing for Machine Learning
Software Testing for Machine Learning
D. Marijan
A. Gotlieb
AAML
22
27
0
30 Apr 2022
Testing Feedforward Neural Networks Training Programs
Testing Feedforward Neural Networks Training Programs
Houssem Ben Braiek
Foutse Khomh
AAML
11
14
0
01 Apr 2022
Importance-Driven Deep Learning System Testing
Importance-Driven Deep Learning System Testing
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAML
VLM
25
97
0
09 Feb 2020
Test Selection for Deep Learning Systems
Test Selection for Deep Learning Systems
Wei Ma
Mike Papadakis
Anestis Tsakmalis
Maxime Cordy
Yves Le Traon
OOD
13
91
0
30 Apr 2019
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in
  Neural Networks
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
42
87
0
02 Oct 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
226
1,835
0
03 Feb 2017
1