The Impact of Faults on DNNs: A Case Study-Reference-Cited by-同舟云学术

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The Impact of Faults on DNNs: A Case Study

Published:2021-10-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
language:
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Author:

Malekzadeh Elaheh,Rohbani Nezam,Lu Zhonghai,Ebrahimi Masoumeh

Funder

VINNOVA (Sweden 's Innovation Agency) through the Trust-E project of the Eureka PENTA and EURIPIDES programmes

VR (Swedish Research Council)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9568273/9568279/09568340.pdf?arnumber=9568340

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective;Journal of Systems Architecture;2024-09

2. Soft Error Resilience Analysis of LSTM Networks;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

3. Techniques for detecting and masking faults in semantic segmentation applications;Microelectronics Reliability;2024-06

4. A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks;ACM Computing Surveys;2024-01-22

5. Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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