Bentley Oakes, Mehrdad Moradi, Simon Van Mierlo, Hans Vangheluwe and Joachim Denil
Paper (2021)
Document published while its authors were not affiliated with Polytechnique Montréal
An external link is available for this itemPolyPublie URL: | https://publications.polymtl.ca/56195/ |
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Conference Title: | 40th International Conference on Computer Safety, Reliability and Security (SAFECOMP 2021) |
Conference Location: | York, England |
Conference Date(s): | 2021-09-08 - 2021-09-10 |
Publisher: | Springer |
DOI: | 10.1007/978-3-030-83903-1_12 |
Official URL: | https://doi.org/10.1007/978-3-030-83903-1_12 |
Date Deposited: | 02 Nov 2023 15:35 |
Last Modified: | 25 Sep 2024 16:47 |
Cite in APA 7: | Oakes, B., Moradi, M., Van Mierlo, S., Vangheluwe, H., & Denil, J. (2021, September). Machine learning-based fault injection for hazard analysis and risk assessment [Paper]. 40th International Conference on Computer Safety, Reliability and Security (SAFECOMP 2021), York, England. https://doi.org/10.1007/978-3-030-83903-1_12 |
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