Record link: 
http://hdl.handle.net/20.500.12708/139726
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Title: 
A formal approach to identifying the impact of noise on neural networks
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Citation: 
Bhatti, I. T., Naseer, M., Shafique, M., & Hasan, O. (2022). A formal approach to identifying the impact of noise on neural networks. Communications of the ACM, 65(11), 70–73. https://doi.org/10.1145/3550492
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Publisher DOI: 
10.1145/3550492
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Publication Type: 
Article - Original Research Article
en
Language: 
English
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Authors: 
Bhatti, Iram Tariq 
Naseer, Mahum 
Shafique, Muhammad 
Hasan, Osman 
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Organisational Unit: 
E191-02 - Forschungsbereich Embedded Computing Systems 
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Journal: 
Communications of the ACM 
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ISSN: 
0001-0782
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Date (published): 
2022
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Number of Pages: 
4
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Publisher: 
ASSOC COMPUTING MACHINERY
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Peer reviewed: 
Yes
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Keywords: 
formal verification; neural networks; Noise
en
Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
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