Analyzing the instructions vulnerability of dense convolutional network on GPUS

• 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/30696/1/Analyzing%20the%20instructions%20vulnerability%20of%20dense%20convolutional%20network%20on%20GPUS.pdf; http://umpir.ump.edu.my/id/eprint/30696/; http://ijece.iaescore.com/index.php/IJECE/article/view/24607/15136; http://doi.org/10.11591/ijece.v11i5.pp4481-4488

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...