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DeepHunter: a coverage-guided fuzz testing framework for deep neural networks
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis - ISSTA 2019
◽
10.1145/3293882.3330579
◽
2019
◽
Cited By ~ 29
Author(s):
Xiaofei Xie
◽
Lei Ma
◽
Felix Juefei-Xu
◽
Minhui Xue
◽
Hongxu Chen
◽
...
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Testing Framework
◽
Fuzz Testing
Download Full-text
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References
Fuzz testing based data augmentation to improve robustness of deep neural networks
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
◽
10.1145/3377811.3380415
◽
2020
◽
Cited By ~ 2
Author(s):
Xiang Gao
◽
Ripon K. Saha
◽
Mukul R. Prasad
◽
Abhik Roychoudhury
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Data Augmentation
◽
Fuzz Testing
Download Full-text
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST)
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10.1109/icst49551.2021.00016
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2021
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Author(s):
Maryam Vahdat Pour
◽
Zhuo Li
◽
Lei Ma
◽
Hadi Hemmati
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Source Code
◽
Testing Framework
Download Full-text
Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT
10.32470/ccn.2018.1046-0
◽
2018
◽
Cited By ~ 1
Author(s):
Alex Hernández-García
◽
Johannes Mehrer
◽
Nikolaus Kriegeskorte
◽
Peter König
◽
Tim C. Kietzmann
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Data Augmentation
Download Full-text
Representation of adversarial images in deep neural networks and the human brain
10.32470/ccn.2018.1066-0
◽
2018
◽
Author(s):
Chi Zhang
◽
Xiaohan Duan
◽
Ruyuan Zhang
◽
Li Tong
Keyword(s):
Neural Networks
◽
Human Brain
◽
Deep Neural Networks
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Study on Intelligent Security Camera Systems for the Automated Detection of Nighttime Snatching Incidents using Deep Neural Networks
IEEJ Transactions on Industry Applications
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10.1541/ieejias.136.727
◽
2016
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Vol 136
(10)
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pp. 727-734
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Cited By ~ 2
Author(s):
Itaru Nagayama
◽
Akira Miyahara
◽
Koichi Shimabukuro
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Automated Detection
◽
Camera Systems
◽
Intelligent Security
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Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters
2020 28th European Signal Processing Conference (EUSIPCO)
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10.23919/eusipco47968.2020.9287739
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2021
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Author(s):
Niccolo Nicodemo
◽
Gaurav Naithani
◽
Konstantinos Drossos
◽
Tuomas Virtanen
◽
Roberto Saletti
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Field Programmable Gate Arrays
◽
Memory Requirement
◽
Gate Arrays
◽
Field Programmable
◽
Programmable Gate Arrays
Download Full-text
The Use of Deep Neural Networks to Predict Post-liver Transplant Mortality
10.26226/morressier.58eb975cd462b80290b4f9e3
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2017
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Author(s):
Brent Ershoff
Keyword(s):
Neural Networks
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Liver Transplant
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Deep Neural Networks
Download Full-text
Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks
Korean Institute of Smart Media
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10.30693/smj.2020.9.4.26
◽
2020
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Vol 9
(4)
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pp. 26-35
Author(s):
Sung Gil Cheon
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Ju Hong Lee
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Bum Ghi Choi
◽
Jae Won Song
Keyword(s):
Neural Networks
◽
Financial Market
◽
Large Scale
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Deep Neural Networks
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Exogenous Variables
Download Full-text
Faculty Opinions recommendation of Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
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10.3410/f.726413891.793534418
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2017
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Author(s):
Odelia Schwartz
Keyword(s):
Neural Networks
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Object Recognition
◽
Deep Neural Networks
◽
Visual Object
◽
Visual Object Recognition
◽
Cortical Dynamics
◽
Spatio Temporal
Download Full-text
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks
10.21437/interspeech.2018-1417
◽
2018
◽
Cited By ~ 39
Author(s):
Daniel Povey
◽
Gaofeng Cheng
◽
Yiming Wang
◽
Ke Li
◽
Hainan Xu
◽
...
Keyword(s):
Neural Networks
◽
Matrix Factorization
◽
Deep Neural Networks
◽
Low Rank
◽
Rank Matrix
◽
Low Rank Matrix
Download Full-text
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