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Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks

Research article (2021 IEEE 22nd Latin American Test Symposium (LATS), 2021) · cited 10× · AI/ML
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Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks

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Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks is a scholarly article[1].

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  • Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/pros-and-cons-of-fault-injection-approaches-for-the-reliability-assessment-of-deep-neural-networks
MLA “Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pros-and-cons-of-fault-injection-approaches-for-the-reliability-assessment-of-deep-neural-networks.
BibTeX @misc{4ortxyz_pros-and-cons-of-fault-injection-approaches-for-the-reliability-assessment-of-deep-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/pros-and-cons-of-fault-injection-approaches-for-the-reliability-assessment-of-deep-neural-networks}, note = {Accessed: 2026-05-24}}
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