Analyzing the instructions vulnerability of dense convolutional network on GPUS

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Analyzing the instructions vulnerability of dense convolutional network on GPUS

Recently, Deep Neural Networks (DNNs) have been increasingly deployed in various healthcare applications, which are considered safety-critical applications. Thus, the reliability of these DNN models should be remarkably high, because even a small error in healthcare applications can lead to injury o...

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Bibliographic Details
Main Authors:	Khalid, Adam, Izzeldin, I. Mohd, Ibrahim, Younis
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2021
Subjects:	QA76 Computer software TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/30696/ http://umpir.ump.edu.my/id/eprint/30696/1/Analyzing%20the%20instructions%20vulnerability%20of%20dense%20convolutional%20network%20on%20GPUS.pdf

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