Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks-Reference-Cited by-同舟云学术

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Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks

Published:2024-07-02 Issue: Volume:25 Page:1095-1100
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Zhang Jingyu¹,Keung Jacky¹,Ma Xiaoxue¹,Li Xiangyu²,Xiao Yan³,Li Yishu¹,Chan Wing Kwong¹

Affiliation:

1. City University of Hong Kong,Department of Computer Science,Hong Kong,China

2. McGill University,Department of Electrical and Computer Engineering,Montreal,Canada

3. School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633581.pdf?arnumber=10633581

Reference37 articles.

1. Multi-column deep neural networks for image classification

2. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

3. Deep neural networks segment neuronal membranes in electron microscopy images;Ciresan;Advances in neural information processing systems,2012

4. Deepbillboard: Systematic physical-world testing of autonomous driving systems;Zhou,2020

5. DeepXplore

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