Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Papachristou, Chris"'
Hardware trojan detection methods, based on machine learning (ML) techniques, mainly identify suspected circuits but lack the ability to explain how the decision was arrived at. An explainable methodology and architecture is introduced based on the e
Externí odkaz:
http://arxiv.org/abs/2407.04551
Publikováno v:
2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024, pp. 1-6
Explainability is needed to establish confidence in machine learning results. Some explainable methods take a post hoc approach to explain the weights of machine learning models, others highlight areas of the input contributing to decisions. These me
Externí odkaz:
http://arxiv.org/abs/2406.08740
Publikováno v:
In Microelectronics Reliability February 2021 117
Akademický článek
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Publikováno v:
International Symposium on Quality Electronic Design (ISQED); 2013, p24-29, 6p
Publikováno v:
2012 NASA/ESA Conference on Adaptive Hardware & Systems (AHS); 1/ 1/2012, p288-295, 8p
Autor:
Feng, Chao, Papachristou, Chris
Publikováno v:
2012 IEEE National Aerospace & Electronics Conference (NAECON); 2012, p78-83, 6p
Publikováno v:
2010 NASA/ESA Conference on Adaptive Hardware & Systems (AHS); 2010, p223-229, 7p
Publikováno v:
Proceedings of the 18th ACM Great Lakes Symposium: VLSI; 5/ 4/2008, p115-118, 4p
Publikováno v:
Proceedings of the Conference: Design, Automation & Test in Europe; 3/10/2008, p1362-1365, 4p